In linguistics , an arealfeature is any feature including cognates , false cognates , and false friends shared by languages within the same geographical area as a consequence of Diffusion anthropology Diffusion theories linguistic and other cultural diffusion . Resemblances between two or more languages whether typological or in vocabulary can be due to genetic linguistics genetic relation descent from a common ancestor language , or due to loanword borrowing at some time in the past between languages that were not necessarily genetically related. When little or no direct documentation of ancestor languages is available, determining whether a similarity is genetic or areal can be difficult. ref Edward Sapir notably used evidence of contact and diffusion as a negative tool for genetic reconstruction, treating it as a subject in its own right only at the end of his career, e.g. for the influence of Tibetan on Tocharian. Drechsel Emanuel J. 1988. Wilhelm von Humboldt and Edward Sapir analogies and homologies in their linguistic thoughts , in Cite book last Shipley first William ed. title In Honor of Mary Haas From the Haas Festival Conference on Native American Linguistics publisher de ..., 978 9027906816 DEFAULTSORT ArealFeature Category Sprachbund sv Areala drag ... GNHjuqXiIJMC&pg PA644&lpg PA644&dq mary haas areal feature&source bl&ots AMkhqvfvMS&sig 2AJgHohFgv17OQ4swyMS019rJ2I ... in the Tree model family tree model of language change, and areal relationships are represented ... wlabov Papers TD.pdf issn doi 10.1353 lan.2007.0082 id accessdate 18 Aug 2010 ref Diffusion of areal ... diversity, a number of areal features have spread across a set of languages to form a sprachbund ... comparison Language contact References Footnotes reflist Notations Campbell, Lyle. 2006. Areal ... www.hum.utah.edu linguistics Faculty oldFacultyPages campbell Areal Linguistics short.doc Campbell, Lyle. In press . Areal linguistics. In K. Brown Ed. , Encyclopedia of language and linguistics 2nd ... more details
Image ArealVelocity.svg frame Figure 1 Areal velocity is the area shown in green swept out per unit time by a particle moving along a curve shown in blue . Areal velocity sector velocity , sectorial velocity is the rate at which area is swept out by a particle as it moves along a curve . In many applications, the curve lies in a plane, but in others, it is a space curve. The adjoining figure shows a continuously differentiable curve in blue. At time t , a moving particle is located at point B , and at time t t the particle has moved to point C . The area swept out during time period t by the particle is approximately equal to the area of triangle ABC . As t approaches zero this near equality becomes exact as a limit of a function limit . The vectors AB and AC add up by the parallelogram rule to vector AD , so that point D is the fourth corner of parallelogram ABDC shown in the figure. The area of triangle ABC in green is half the area of parallelogram ABDC , and the area of ABDC is equal ... r t times vec r t Delta t over 2 Delta vec A . math The areal velocity vector is math frac d vec ..., where the planet moves more slowly. The areal velocity vector can be placed at the moving point B. As the particle moves along its path in space, it sweeps out a cone shaped surface. The areal .... In planar problems, such as the orbit of a planet about the sun, the direction of the areal ... d vec A d t math . The direction of the angular momentum vector L is always the same as that of the areal velocity vector. Angular momentum is conserved if and only if the areal velocity is a constant vector. Thus, in the Kepler problem, the angular momentum of a planet about the sun is conserved and the areal ... of areal velocity is constant. For a single particle, areal velocity provides a geometrical interpretation of angular momentum. The concept of areal velocity is closely linked historically with the concept ... Areal Velocity and Angular Momentum for Non Planar Problems in Particle Mechanics journal American ... more details
selfref For featured articles in Wikipedia, see Wikipedia Featured articles and Wikipedia Featured article candidates featured article candidates selfref For feature requests relating to the MediaWiki software which powers Wikipedia, see Wikipedia Bug reports and feature requests selfref For featured topics in Wikipedia, see Wikipedia Featured topics Wiktionary feature A feature is a distinct property or piece, which may refer to Science and technology Feature software design is an intentional distinguishing characteristic of a software item in performance, portability, or especially functionality Feature computer vision , could be an edge, corner or blob Feature CAD , could be a hole, pocket, or notch Features pattern recognition , in statistics individual measurable properties of the phenomena being observed Feature data , in geographic information systems, comprise information about an entity with a geographic location Media Feature film , a film intended for initial distribution in theaters A feature story is a piece of journalistic writing that covers a selected issue in depth Radio documentary feature , a radio program devoted to covering a particular topic in some depth, usually with a mixture of commentary and sound pictures Linguistics Feature linguistics , a property of a class of linguistic items which describes individual members of that class Distinctive feature , the most basic unit of structure that can be analyzed by phonetics and phonology Other uses Feature archaeology , any dug, built, or dumped evidence of human activity The Features , an American rock band disambig de Feature he ja no Feature ... more details
Multiple issues primarysources April 2011 update April 2011 advert January 2008 Infobox Film name The Feature director Michel Auder br Andrew Neel producer Ethan Palmer starring Michel Auder editing Luke Meyer The Feature is a collaboration between filmmakers Michel Auder and Andrew Neel . Using a vast video library that Auder has created over the last 40 years, in combination with original present day footage of Auder shot by Neel, the two filmmakers are setting out to make a feature length film loosely based on the story of Auder s life. Auder pioneered a form of video diary , starting with his first Sony Portapak camera in 1969, obsessively documenting the people, places and events in his life. His style and originality have been protected from the constraints of commercial filmmaking as he planned , and what results is a highly idiosyncratic visual record of his life and times. The Feature marks Auder s return to a more mainstream cinematic mode of story telling a mode he has not visited since the early years of his career. Auder s life is punctuated by marriages to Viva Warhol superstar Viva Superstar and Cindy Sherman and a loose affiliation with the Warhol Factory. Some of his most intimate moments are captured on tape. He is a consummate voyeurism voyeur one who literally reads scenes of intimacy and daily life as verses of poetry unto themselves. From the gritty bohemian haunts in New York City , to the desolate Islands of the Oceania South Pacific we will travel with him... The Feature will not be a biographical film bio pic . Although the narrative is linear, footage from various periods in Auder s life will be used throughout the film. The story will be augmented with satirical sit down interviews of the present day Auder and biographical information both fictional ... Official movie website imdb title id 0991154 title The Feature http www.seethink.com SeeThink Productions http www.michelauder.com www.michelauder.com DEFAULTSORT Feature Category 2008 ... more details
coord 22 13 51 S 43 06 21 W scale 30000 display title Areal is a municipality located in the States of Brazil Brazilian state of Rio de Janeiro state Rio de Janeiro . Its population was 10,957 2005 and its area is 111 km . ref IBGE http www.ibge.gov.br cidadesat default.php ref References reflist RiodeJaneiro geo stub Municipalities of Rio de Janeiro Category Populated places in Rio de Janeiro state es Areal eo Areal fr Areal bpy it Areal nl Areal no Areal Rio de Janeiro pl Areal pt Areal ro Areal, Brazilia ru vo Areal war Areal, Rio de Janeiro ... more details
See Wikipedia WikiProject Indian cities for details Infobox Indian Jurisdiction native name S o Jose de Areal type city latd longd state name Goa district South Goa district South Goa leader title leader name altitude population as of 2001 population total 8352 population density area magnitude sq. km area total area telephone postal code vehicle code range sex ratio unlocode website footnotes S o Jose de Areal is a census town in South Goa district in the India n States and territories of India state of Goa . Demographics As of 2001 India census , ref GR India ref S o Jose de Areal had a population of 8352. Males constitute 51 of the population and females 49 . S o Jose de Areal has an average literacy rate of 63 , higher than the national average of 59.5 male literacy is 68 , and female literacy is 58 . In S o Jose de Areal, 13 of the population is under 6 years of age. References Reflist coord 15.25347 N 74.01371 E source itwiki region IN format dms display title DEFAULTSORT Sao Jose De Areal Category Cities and towns in South Goa district Goa geo stub bn bpy it Sao Jose de Areal vi Sao Jose de Areal ... more details
NOTOC The modifiable areal unit problem MAUP is a source of statistical bias that can radically affect the results of statistical hypothesis tests. It affects results when point based measures of spatial phenomena e.g., population density are Aggregate data aggregated into districts. The resulting summary values e.g., totals, rates, proportions are influenced by the choice of district boundaries. For example, census data may be aggregated into census enumeration districts, or postcode areas, or police precincts, or any other spatial partition thus, the areal units are modifiable . The issue was discovered in 1934 ref Gehlke and Biehl 1934 ref and described in detail by Openshaw 1984 , who lamented that the areal units zonal objects used in many geographical studies are arbitrary, modifiable, and subject to the whims and fancies of whoever is doing, or did, the aggregating. . ref Openshaw 1984, p. 3 ref See also General topics Representation theory Spatial analysis Specific applications Spatial epidemiology Spatial econometrics Gerrymandering Boundary problem in spatial analysis Notes reflist References Cressie, N. 1996 . Change of Support and the Modifiable Areal Unit Problem. Geographical Systems , 3 159 180. Gehlke, C. and Biehl, H. 1934 . Certain effects of grouping upon the size of the correlation coefficient in census tract material. Journal of the American Statistical Association Supplement, 29 , 169 170. Doi 10.2307 2277827 Holt D, Steel D, Tranmer M, Wrigley N. 1996 . Aggregation and ecological effects in geographically based data. Geographical Analysis 28 244&ndash 261. Openshaw, S. 1984 . http qmrg.org.uk files 2008 11 38 maup openshaw.pdf The Modifiable Areal Unit Problem. Norwich Geo Books. ISBN 0 86094 134 5. Unwin, D. J. 1996 . GIS, spatial analysis and spatial statistics. Progress in Human Geography. 20 540 551. DEFAULTSORT Modifiable Areal Unit Problem Category Bias Category Geographic information systems Category Spatial data analysis ... more details
In pattern recognition and machine learning , a feature vector is an n dimensional vector geometric vector of numerical Features pattern recognition feature s that represent some object. Many algorithm s in machine learning require a numerical representation of objects, since such representations facilitate processing and statistical analysis. When representing images, the feature values might correspond to the pixels of an image, when representing texts perhaps to term occurrence frequencies. Feature vectors are equivalent to the vectors of explanatory variable s used in statistics statistical procedures such as linear regression . Feature vectors are often combined with weights using a dot product in order to construct a linear predictor function that is used to determine a score for making a prediction. The vector space associated with these vectors is often called the feature space . In order to reduce the dimensionality of the feature space, a number of dimensionality reduction techniques can be employed. See also Feature extraction Feature selection Dimensionality reduction DEFAULTSORT Feature Vector Category Machine learning Category Data mining mathapplied stub de Merkmalsvektor ... more details
selfref Within Wikipedia, Feature d article may refer to Wikipedia Featured articles . For general information articles , see Article disambiguation For the term used in specific, see Article publishing For the concept of feature stories, made the primary focus of a issue for in depth investigation, see feature story Disambig ... more details
, one for the feature names and the other for the values. In this sense a feature structure is a list of key value pairs. The value might be atomic or another feature structure. This leads to another notation for feature structures the use of Tree data structure tree s. In fact, some systems such as PATR II use S expression s to represent feature structures. External links http cs.union.edu striegnk courses nlp with prolog html node79.html Feature Structures section of an online Prolog course http www.tei c.org release doc tei p5 doc en html FS.html Feature Structures in Text Encoding for Interchange ... more details
A feature is a concept applied to several fields of linguistics , typically involving the assignment of wiktionary binary binary or unary conditions which act as constraints. In phonology main distinctive feature In phonology , segment linguistics segment s are categorized into natural class es on the basis of their distinctive feature s. Each feature describes a quality or characteristic of the natural class, such as voice linguistics voice or manner of articulation manner . A unique combination of features defines a phoneme . Examples of phonemic or distinctive features are voice linguistics voice , Advanced tongue root ATR binary features and coronal consonant CORONAL a unary feature also a place of articulation place feature . Surface representations can be expressed as the result of rules acting on the features of the underlying representation . These rules are formulated in terms of transformations on features. In morphology In morphology linguistics morphology and syntax , words are often organized into lexical category lexical categories or word classes , such as noun , verb , adjective , and so on. These word classes have grammatical feature s also called categories or inflectional categories , which can have one of a set of potential values also called the property , meaning , or feature of the category . ref Kibort, Anna & Corbett, Greville G. http www.grammaticalfeatures.net inventory.html Grammatical Features Feature Inventory ref For example, consider the pronoun in English. Pronouns are a lexical category . Pronouns have the grammatical person person feature , which ... number feature , which can have a value of either singular or plural . As a result, we can describe ... feature In semantics , words are categorized into semantic class es. Intersecting semantic classes share the same semantic feature s. See also Semantic feature Distinctive feature References reflist DEFAULTSORT Feature Linguistics Category Linguistics ar fr Trait linguistique sv S rdrag ... more details
For feature detection in computer vision, see feature detection computer vision . Feature detection is a process by which specialized nerve cell s in the brain respond to specific features of a visual stimulus, such as lines, edges, angle, or movement. The nerve cells fire selectively in response to stimuli that have specific characteristics E.G shape, angle, or movement. Feature detection was discovered by David Hubel and Torsten Wiesel of Harvard University , an accomplishment which won them the 1981 Nobel Prize . In the area of computer vision , Feature detection computer vision feature detection usually refers to the computation of local image features as intermediate results of making local decisions about the local information contents image structure in the image see also the article on interest point detection . In the area of psychology, the feature detectors are neurons in the visual cortex that receive visual information and respond to certain features such as lines, angles, movements, etc. When the visual information changes, the feature detector neurons will quiet down, to be replaced with other more responsive neurons. See also Feature detection nervous system Feature detection computer vision Interest point detection Category Neurons Category Perception Neuroscience stub ... more details
Context date April 2009 Feature model is a compact representation of all the products of the Software Product Line SPL in terms of features . Feature models are visually represented by means of feature diagrams. Feature models are widely used during the whole product line development process and are commonly ... is identified by a unique and legal combination of features, and vice versa. Feature models were first introduced in the Feature Oriented Domain Analysis FODA method by Kang in 1990. ref name KangEtAl90 Kang, K.C. and Cohen, S.G. and Hess, J.A. and Novak, W.E. and Peterson, A.S., Feature oriented ... download ref . Since then, feature modeling has been widely adopted by the software product line community and a number of extensions have been proposed. Background A feature is defined as a prominent ... SPL ref name KangEtAl90 . Model A feature model is a model that defines features and their dependencies, typically in the form of a feature diagram left over a.k.a. cross tree constraints. But also it could be as a table of possible combinations. Citation needed date April 2009 Diagram A feature diagram is a visual notation of a feature model, which is basically an and or tree. Other extensions exist cardinalities , feature cloning, feature attributes, discussed below. Configuration A feature configuration is a set of features which describes a member of an SPL the member contains a feature if and only if the feature is in its configuration. A feature configuration is permitted by a feature model if and only if it does not violate constraints imposed by the model. Feature modeling notations Current feature modeling notations may be divided into three main groups, namely Basic feature models Cardinality based feature models Extended feature models Basic feature models Relationships between a parent feature and its child features or subfeatures are categorized as Mandatory child feature is required. Optional child feature is optional. Or at least one of the sub ... more details
that appeared in Feature Comics include Phantom Lady , as well as many strips serving as backups ..., and the sports strip Ned Brant. Like the Clock and Jane Arden, the Ned Brant feature also moved over to Crack Comics after issue 31, making room for new Feature Comics features. References refbegin gcdb series id 122 title Feature Comics comicbookdb type title id 26314 title Feature Comics refend ... more details
In pattern recognition a feature space is an abstract space where each pattern sample is represented as a point in n dimensional space . Its dimension is determined by the number of Features pattern recognition feature s used to describe the patterns. Similar samples are grouped together, which allows the use of density estimation for finding patterns. The concept is a most used one in classification techniques like k nearest neighbors or support vector machine s. See also Configuration space External links http dynamicnotions.blogspot.com 2008 09 hidden neurons and feature space.html Hidden Neurons and Feature Space in C comp sci stub Category Machine learning Category Data mining Category Article Feedback 5 de Merkmalsraum fi Piirreavaruus ... more details
In geographic information system s, a feature is an object that can have a geographic location and other properties ref cite web title GML Simple Features Profile work http www.ogcnetwork.net ?q gml sf publisher OGC accessdate 11 July 2011 ref . Common types of geometries include Point geometry point s, Arc geometry arc s, and polygon s. Carriageways and cadastre s are examples of feature data. Features can be Labeling map design labeled when displayed on a map. Feature types The definition of features that share membership of a common theme is a feature type , though there are a number of terms for this characteristic, including category , feature class , group , layer , level , object , and theme . Layer is the traditional term of choice, but use of this term has declined as data has become more object oriented and less concerned with cartographic layering. Data modelers can use feature types to create a hierarchical structure. For example, a dataset may consist of types called highways, streets and lanes. These types may be grouped together under a category called Roads . See also Feature class References Reflist Cartography stub Category Cartography de Merkmal GIS ... more details
Unsourced date February 2012 In marketing terminology, a killer feature is any attribute of a product that, for a particular type of use, becomes essential to those users due to its usefulness. The killer feature effectively kills off competitors from the market that needs it. The word is used mainly about software, analogous to killer application , the difference being that the latter specifically refers to software as a killer feature of its compatible hardware. Comparison with Anti features It is commonly expected of a killer feature to be genuinely useful and competitive. By this principle, anti feature s and killer features are mutually exclusive categories. However, anti features may create a similarly excluding effect on the market see vendor lock in a monopoly can cement itself in the self reinforcingly Anti competitive practices unfair competition of product tying and artificial incompatibility that anti features can enforce. Customers have little choice in either monopoly an anti feature may be an equally strong sales argument as a killer feature. Nonetheless, killer features are usually strongly advertised, while anti features are rather not. See also Killer application Disruptive technology Vendor lock in Category Computing terminology ... more details
Feature length is List of motion picture terminology motion picture terminology referring to the length of a feature film . According to the rules of the Academy of Motion Picture Arts and Sciences , a feature length film motion picture must have a running time of more than 40 minutes to be eligible for an Academy Award . ref name oscars.org cite web url http www.oscars.org press pressreleases 2008 08.12.29.html title 281 Feature Films in Competitian for 2008 Oscar accessdate 2010 09 22 work Academy of Motion Picture Arts and Sciences publisher date ref The term may also be applied to non feature films with the minimum length, such as television film television movies and direct to video releases. Feature length can also be used to describe an episode of a television program TV series that has been extended to the length of a feature film. Such feature length episodes are usually television pilot series pilots , television special holiday specials or season finale s. History The earliest known feature length fictional film narrative film in the world was the Australian production The Story of the Kelly Gang 1906 , which was 60 minutes in length. Five reel Motion picture terminology reel features became common practice in the film industry industry in 1915. During the silent film silent era a one reel short film short ran for an average of 10 minutes, and a two reeler usually a comedy for 20 minutes, thus a feature was around 50 minutes or more. See also List of motion picture terminology Short film References reflist Category Film and video terminology film term stub ... more details
Please leave this line alone Feature scaling is a method used to standardize the range of independent variables or features of data. In data processing , it is also known as data normalization and is generally performed during the data preprocessing step. Motivation Since the range of values of raw data ... by this particular feature. Therefore, the range of all features should be normalized so that each feature contributes approximately proportionately to the final distance. Deleted image removed Image Before FS.png thumb 300px A convergence of the Gradient Descent algorithm before applying feature ... algorithm after applying feature scaling Methods Rescaling The simplest method is rescaling the range ..., and etc., and this data can include multiple dimensions . Feature standardization makes the values of each feature in the data have zero mean and unit variance. This method is widely used for normalization ... for each feature, and then, subtract the mean in each feature. Then, we divide the values mean is already subtracted of each feature by its standard deviation. Application In Gradient Descent , feature ... first P. coauthors D. M. J. Tax, and R. P. W. Dui date 2002 title Feature scaling in support vector ... S. Aksoy and R. Haralick, Feature normalization and likelihood based similarity measures for image ... Linear Transforms for Feature Normalization and Speaker Adaptation in HMM Estimation ... Wang, and Licheng Jiao, Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave one out ... homes lfb paper nc06.pdf A. Stolcke, S. Kajarekar, and L. Ferrer, Nonparametric feature normalization ... xpl freeabs all.jsp?arnumber 4517925 E. Youn, M. K. Jeong , Class dependent feature scaling method ... 100 Lecture by Andrew Ng on feature scaling http www.statalgo.com 2011 10 17 stanford ml 1 2 gradient descent Gradient Descent using feature scaling http mipa.med.upatras.gr educational 20resources Data 20Normalization.pdf Feature normalization Category Machine learning ... more details
In machine learning and statistics , feature selection , also known as variable selection , feature reduction ... experiments. By removing most irrelevant and redundant features from the data, feature selection .... Feature selection also helps people to acquire better understanding about their data by telling ... Simple feature selection algorithms are ad hoc, but there are also more methodical approaches. From a theoretical perspective, it can be shown that optimal feature selection for supervised learning ... algorithms, the search is for a satisfactory set of features instead of an optimal set. Feature selection algorithms typically fall into two categories feature ranking and subset selection. Feature ... popular form of feature selection is stepwise regression . It is a greedy algorithm that adds the best feature or deletes the worst feature at each round. The main control issue is deciding when ... is selected as the satisfactory feature subset. The stopping criterion varies by algorithm possible ..., M. Garcia Torres, B. Melian, J.A. Moreno Perez, J.M. Moreno Vega. Solving feature subset selection ..., J.A. Moreno Perez, J.M. Moreno Vega. Solving Feature Subset Selection Problem by a Hybrid Metaheuristic ... be regarded as scores . These scores are computed between a candidate feature or set of features ... Entropy Consistency based feature selection Correlation based feature selection Optimality criteria There are a variety of optimality criteria that can be used for controlling feature selection. The oldest ... math , maximum dependency feature selection, and a variety of new criteria that are motivated by false ... maximum relevance mRMR feature selection Peng et al. ref Peng, H.C., Long, F., and Ding, C., Feature ...&ndash 1238, 2005. http penglab.janelia.org proj mRMR index.htm Program ref proposed an mRMR feature ... simultaneously. The relevance of a feature set math S math for the class math c math is defined by the average value of all mutual information values between the individual feature math f i ... more details
about film programming Susan Stroman s 2004 ballet Double Feature ballet Image AIP double feature.jpg right thumb A poster advertising a double feature of Die, Monster, Die and Planet of the Vampires . The double feature , also known as a double bill , was a motion picture industry phenomenon in which ... one feature film and various short subject reels would be shown. Origin and format Movie theaters ... The main feature film Theater owners decided that they could both attract more customers and save ... and or a short film preceding a low budget second feature the B movie , followed by a short interlude. Afterward, the high budget main feature the A movie ran. Although the double feature put many short ... production. Attracted by business a neighborhood theatre running a double feature obtained over a higher priced first run theatre with only one feature film, the major studios began making their own ... feature arose partly because of a studio practice known as block booking, a form of Tying commerce ... a film would be accompanied by a re release, either an older feature from a major studio or a rerelease ... Pictures , otherwise a smaller studio may have been contracted to bring in a low budget second feature ... them part time. After the Paramount Decree the sources of the second feature had changed. ref ... International Pictures with the idea of providing a double feature of two B pictures for often less than the price of a single A feature, or taking a lower percentage of the cinema s grosses than the major ... features had been mostly abandoned in non drive ins in favor of the modern single feature screening, in which only one feature film is exhibited. However, double bills of popular series that had previously been run as a single feature such as the James Bond and Matt Helm superspy genre and The Man .... While most cinemas have discontinued the practice of showing the double feature, it has nostalgia ... Theatre has maintained the tradition of the Double Feature almost every day from its establishment ... more details
File Nokia 6020.jpg thumb 225px A feature phone A feature phone is a mobile phone which at the time of manufacture is not considered to be a smartphone , but nevertheless has additional functions over and above GSM services standard mobile services . It is intended for customers who want a lower price phone without all the features of a smart phone. In 2011, feature phones accounted for 60 percent ... url?sa t&rct j&q feature 20phone&source web&cd 2&ved 0CFwQFjAB&url http 3A 2F 2Fwww.zdnet.com 2Fblog 2Fcell phones 2Fnokias continued feature phone focus may be one of their smartest moves 2F7215&ei ... and feature phone Feature phones is the term generally used to describe low end devices, while ... 310 title Feature Phone date publisher Phone Scoop accessdate 9 May 2010 ref ref cite web url http www.zdnet.com blog gadgetreviews smartphone vs feature phone arms race heats up which did you buy 6836 title Smartphone vs. feature phone arms race heats up which did you buy? author Andrew Nusca date 20 August 2009 publisher ZDNet ref Smartphone and feature phone are not mutually exclusive categories ... difference between a smartphone and feature phone is often used to distinguish the two devices. As of March ... of the handset purchase cost by there are no waivers for a voice only plan . The no term price for a feature ... in distinguishing between smartphones and feature phones is that over time the capabilities of new models of feature phones can increase to exceed those of phones that had been promoted as smartphones ... 10 years ago may be considered only a feature phone today. For example, today s feature phones typically ... Main Smartphone One of the most significant differences between smartphones and feature phones is that the advanced ... than is typical with feature phones. In comparison, feature phones more commonly run on proprietary ... APIs appear on smartphones first they are gradually moving to feature phones. ref http www.pocketgamer.biz ... ko hu Feature phone ja zh ... more details
The Institute of Electrical and Electronics Engineers defines the term feature in IEEE 829 as A distinguishing characteristic of a software item e.g., performance, portability, or functionality . ref IEEE Std. 829 1998 ref Feature rich A system is said to be feature rich when it has many options and functional capabilities available to the user. Progressive disclosure is a technique applied to reduce the potential confusion caused by displaying a wealth of features at once. This term is also used in a pejorative fashion where it expresses the view that features are added at the expense of something that s usually considered a basic function. See also Feature Oriented Programming Product Family Engineering Progressive disclosure Software design Software testing Application Lifecycle Management Software bloat References reflist External links http www.ieee.org Official IEEE website software eng stub Category Software features fa ru ... more details
Unreferenced date March 2007 A semantic feature is a notational method which can be used to express the existence or non existence of pre established semantic property semantic properties by using plus and minus signs. Man is HUMAN , MALE , ADULT br Woman is HUMAN , MALE , ADULT br Boy is HUMAN , MALE , ADULT br Girl is HUMAN , MALE , ADULT Intersecting semantic class es share the same features. Some features need not be specifically mentioned as their presence or absence is obvious from another feature. This is a Redundancy linguistics redundancy rule. DEFAULTSORT Semantic Feature Category Semantics Ling stub de semantisches Merkmal pl Cecha semantyczna ta ... more details
A feature story is a special human interest story or article that is not closely tied to a recent news event. It goes into great detail regarding concepts and ideas of specific market interest. Published features and news While the distinction between published features and news is often clear, when approached conceptually there are few hard boundaries between the two. It is quite possible to write a feature in the style of a news story, for instance. Nevertheless features do tend to take a more narrative approach, perhaps using opening paragraphs as scene setting narrative hook s instead of the delivery of the most important facts. Types In cite The Universal Journalist cite , ref name tuj cite book last Randall first David title The Universal Journalist publisher Pluto Press date May 1, 2000 url http www.universaljournalist.co.uk isbn 0745316417 page 240 ref David Randall suggests the following categories of feature Color piece Describing a scene and throw light on its theme s . Fly on the wall see Fly on the wall . Behind the scenes Similar to the above, but with the journalist a part of events. In disguise Pretending to be another person see Ryan Parry ref cite news url http news.bbc.co.uk 2 hi uk news 3282625.stm work BBC News title Paper exposes Palace security date November ... sources of news, feature stories are becoming more common as they can be more engaging to read. At many newspapers, news stories are sometimes written in feature style, adopting some of the conventions of feature writing while still covering breaking events. Wire services such as the Associated Press , which previously made a point of distributing only news, now also include feature stories. The Pulitzer Prize for Feature Writing is awarded annually for a distinguished example of feature writing ... Feature Story Category Journalism terminology journalism stub da Kronik de Feature Darstellungsform ... divers sv Feature ... more details
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