نتایج جستجو برای: categorization
تعداد نتایج: 30962 فیلتر نتایج به سال:
We extend Leeuwenberg's Structural Information Theory (SIT) to an algebraic framework, where domain-dependent operators are allowed to become part of the perceptual gestalts. Using the SIT notion ofìnforma-tion load', we provide a structural notion of similarity and categorization. We introduce two complexity measures , namely descriptor complexity and member complexity , which drive categoriza...
The detrimental influence of distraction on memory and attention is well established, yet it is not as clear whether irrelevant information impacts categorization abilities and whether this impact changes in aging. We examined categorization with morphed prototype stimuli in both younger and older adults, using an adaptive staircase approach to assess participants' performance in conditions wit...
In this work we provide an initial analysis of service categorization, the process of associating services with ontologies. Service categorization is an important pre-processing step to tasks such as service composition. The absence of semantic understanding of services may yield erroneous compositions and therefore, service categorization can assist in determining the correctness of a composit...
The paper presents a statistical evaluation of the typological data about color naming systems across the languages of the world that have been obtained by the World Color Survey. In a first step, we discuss a singular value decomposition of the categorization data that led to a small set of easily interpretable features dominant in color categorization. These features were used for a dimension...
We present TRESTLE, an incremental algorithm for probabilistic concept formation in structured domains that builds on prior concept learning research. TRESTLE works by creating a hierarchical categorization tree that can be used to predict missing attribute values and cluster sets of examples into conceptually meaningful groups. It is able to update its knowledge by partially matching novel str...
A process model of perceptual categorization is presented, in which it is assumed that the earliest stages of categorization involve gradual accumulation of information about object features. The model provides a joint account of categorization choice proportions and response times by assuming that the probability that the information-accumulation process stops at a given time after stimulus pr...
The conventional scene categorization methods ignore spatial information within a scene and are not able to discern categories that share similar subscenes but different in layout; or categories that are ambiguous by nature. To address this issue, in this paper a method is proposed to incorporate subscene attributes within global descriptions to improve categorization performance, especially in...
In this paper, we investigate the feasibility of using machine learning method and subword units for spoken document categorization as an alternative to using words generated by word recognition or keyword spotting. An advantage of using subword acoustic unit representations to spoken document categorization is that it does not require prior knowledge about the contents of the spoken document a...
The authors present a similarity-based model of induction and categorization in young children (SINC). The model suggests that (a). linguistic labels contribute to the perceived similarity of compared entities and (b). categorization and induction are a function of similarity computed over perceptual information and linguistic labels. The model also predicts young children's similarity judgment...
The evolution of color categorization is investigated using computer simulations of agent population categorization games. Various realistic observer types are implemented based on Farnsworth-Munsell 100 Hue Test human performance data from normal and anomalous trichromats, dichromats, and humans with four retinal photopigments. Results show that (i) a small percentage of realistically modeled ...
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