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CVPR
1997
IEEE
14 years 2 months ago
Learning bilinear models for two-factor problems in vision
In many vision problems, we want to infer two (or more) hidden factors which interact to produce our observations. We may want to disentangle illuminant and object colors in color...
William T. Freeman, Joshua B. Tenenbaum
ICML
2009
IEEE
14 years 11 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
CDVE
2004
Springer
120views Visualization» more  CDVE 2004»
14 years 3 months ago
Constructing a Global and Integral Model of Business Management Using a CBR System
Abstract. Knowledge has become the most strategic resource in the new business environment. A case-based reasoning system, which incorporates a novel clustering and retrieval metho...
Emilio Corchado, Juan M. Corchado, Lourdes S&aacut...
IEAAIE
2011
Springer
13 years 1 months ago
A Cognitive Agent Model Using Inverse Mirroring for False Attribution of Own Actions to Other Agents
This paper presents a cognitive agent model capable of showing situations where self-generated actions are attributed to other agents, as, for example, for patients suffering from ...
Jan Treur, Muhammad Umair
NIPS
2003
13 years 11 months ago
Log-Linear Models for Label Ranking
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
Ofer Dekel, Christopher D. Manning, Yoram Singer