نتایج جستجو برای topic familiarity

تعداد نتایج: 143888  

2007
J. M. Cortes, A. Greve,

One process involved in recognition memory is familiarity discrimination. Familiarity distinguishes almost immediately after stimulus presentation whether the item was previously encountered (old) or novel. By using a formalism based on attractor neural networks, we discuss different dynamical processes affecting familiarity discrimination. First, we compare two different familiarity discrimina...

2009
Hyunjin Song,

Low processing fluency fosters the impression that a stimulus is unfamiliar, which in turn results in perceptions of higher risk, independent of whether the risk is desirable or undesirable. In Studies 1 and 2, ostensible food additives were rated as more harmful when their names were difficult to pronounce than when their names were easy to pronounce; mediation analyses indicated that this eff...

Journal: :Perception & psychophysics 1985
A Koriat, J Norman,

Mental rotation functions often evidence a curvilinear trend indicating relative indifference to small departures from the upright. In Experiment 1, this was true only for normal letters. whereas reflected letters yielded a largely linear rotation function. This suggested that the internal representation of familiar visual patterns is characterized by broad orientation tuning that allows recogn...

1998
Eric Granger, Stephen Grossberg, Mark A. Rubin, William W. Streilein,

The ARTMAP-FD neural network performs both identification (placing test patterns in classes encountered during training) and familiarity discrimination (judging whether a test pattern belongs to any of the classes encountered during training). The performance of ARTMAP-FD is tested on radar pulse data obtained in the field, and compared to that of the nearest-neighbor-based NEN algorithm and to...

2010
Chris Davis, Jeesun Kim,

Familiarity with a talker facilitates perception for both heard speech (where speech from a familiar talker is better identified in noise) and for visual speech (where familiarity with a talker’s face assists visual speech recognition). Recently, it has even been shown that the talker familiarity effect can be produced cross modally, i.e., experience in speech-reading a talker facilitates perfo...

2006
Teresa Garcia-Marques, Diane Mackie,

This paper reports research showing the impact of implicit familiarity on information processing. We predicted that implicit familiarity would reduce analytic processing. As our studies involved person perception, we predicted that familiarity would reduce attention to individuated information and increase the impact of category labels on judgments about a target person. In two studies particip...

Journal: :Trends in cognitive sciences 2007
Ken A Paller, Joel L Voss, Stephan G Boehm,

Familiarity is a pervasive memory phenomenon that occurs in its most basic form when someone recognizes a repeated stimulus without recollecting other aspects of the requisite prior learning episode. Theoretical controversy currently abounds with respect to both the cognitive and neural characteristics of familiarity. Here, we show that the extant data, particularly brain-potential data, are in...

2015
David Beaver, Elizabeth Coppock,

In this paper we offer a novel resolution of a familiar tension, that between approaches in which the difference between definites and indefinites is based on uniqueness, and those in which it is based on novelty/familiarity. Advocates of uniqueness-based approaches such as Horn & Abbott (2013) and Coppock & Beaver (2015) have pointed out cases where the description is unique, but not familiar....

2013
Lan Du, Wray L. Buntine, Mark Johnson,

We present a new hierarchical Bayesian model for unsupervised topic segmentation. This new model integrates a point-wise boundary sampling algorithm used in Bayesian segmentation into a structured topic model that can capture a simple hierarchical topic structure latent in documents. We develop an MCMC inference algorithm to split/merge segment(s). Experimental results show that our model outpe...

2009
Dan Knights, Michael C. Mozer, Nicolas Nicolov,

The Latent Dirichlet Allocation topic model of Blei, Ng, & Jordan (2003) is well-established as an effective approach to recovering meaningful topics of conversation from a set of documents. However, a useful analysis of user-generated content is concerned not only with the recovery of topics from a static data set, but with the evolution of topics over time. We employ a compound topic model (C...

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