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» A computational model of belief
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ICCV
2007
IEEE
15 years 12 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
ICCV
2005
IEEE
15 years 3 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
CVPR
2010
IEEE
15 years 5 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
AIED
2009
Springer
15 years 4 months ago
An Evaluation of Sociocultural Data for Predicting Attitudinal Tendencies
Cultural profiling involves a complex interplay of multiple dimensions that are virtually impossible to wholly address. This paper explores several cultural (nationality and its as...
Emmanuel G. Blanchard, Marguerite Roy, Susanne P. ...
TARK
2005
Springer
15 years 3 months ago
Understanding human strategies for change: an empirical study
The ability to model changes in preferences is crucially important for sound decision making and effective communication. Much has been written about strategies for changing belie...
Alankar Karol, Mary-Anne Williams