Results 21 to 30 of about 1,401,134 (269)
Predicting Category Intuitiveness With the Rational Model, the Simplicity Model, and the Generalized Context Model [PDF]
, 2009 Naïve observers typically perceive some groupings for a set of stimuli as more intuitive than others. The problem of predicting category intuitiveness has been historically considered the remit of models of unsupervised categorization.
Bailey, T. M., Pothos, E. M.
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Cross-X Learning for Fine-Grained Visual Categorization [PDF]
IEEE International Conference on Computer Vision, 2019 Recognizing objects from subcategories with very subtle differences remains a challenging task due to the large intra-class and small inter-class variation.
W. Luo +7 more
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Deep Pyramid Convolutional Neural Networks for Text Categorization
Annual Meeting of the Association for Computational Linguistics, 2017 This paper proposes a low-complexity word-level deep convolutional neural network (CNN) architecture for text categorization that can efficiently represent long-range associations in text.
Rie Johnson, Tong Zhang
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Content-based book recommending using learning for text categorization [PDF]
Digital library, 1999 Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes.
R. Mooney, Loriene Roy
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Using bag-of-concepts to improve the performance of support vector machines in text categorization [PDF]
, 2004 This paper investigates the use of concept-based representations for text categorization. We introduce a new approach to create concept-based text representations, and apply it to a standard text categorization collection. The representations are used as
Cöster, Rickard, Sahlgren, Magnus
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A review of emotion sensing: categorization models and algorithms
Multimedia tools and applications, 2020 Sentiment analysis consists in the identification of the sentiment polarity associated with a target object, such as a book, a movie or a phone. Sentiments reflect feelings and attitudes, while emotions provide a finer characterization of the sentiments ...
Zhaoxia Wang, Seng-Beng Ho, E. Cambria
semanticscholar +1 more source
Similarity and categorisation: getting dissociations in perspective [PDF]
, 2004 Dissociations between similarity and categorization have constituted critical counter-evidence to the view that categorization is similarity-based. However, there have been difficulties in replicating such dissociations.
Braisby, Nick
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On the adequacy of current empirical evaluations of formal models of categorization [PDF]
, 2012 Categorization is one of the fundamental building blocks of cognition, and the study of categorization is notable for the extent to which formal modeling has been a central and influential component of research.
Pothos, E. M., Wills, A. J.
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Information and Control, 1986 The paper presents a connection between lambda-calculus and Cartesian closed categories in an untyped and purely syntactic setting. Syntactic equivalence is established between lambda-calculus with products and projections as independent operations (yielding surjective pairing besides ordinary \(\beta\)- and \(\eta\)-rules), and ''categorical ...
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Categorical results do not imply categorical perception [PDF]
Perception & Psychophysics, 1982 Categorical perception refers to the ability to discriminate between- but not within-category differences along a stimulus continuum. Although categorical perception was thought to be unique to speech, recent studies have yielded similar results with nonspeech continua.
J M, Hary, D W, Massaro
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