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NIPS
1997
15 years 8 months ago
Learning to Order Things
There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order, given feedback in the form of ...
William W. Cohen, Robert E. Schapire, Yoram Singer
JCISE
2002
129views more  JCISE 2002»
15 years 6 months ago
Modeling Information Needs in Engineering Databases Using Tacit Knowledge
Online resources of engineering design information are a critical resource for practicing engineers. These online resources often contain references and content associated with te...
Shuang Song, Andy Dong, Alice M. Agogino
CVPR
2010
IEEE
15 years 4 months ago
Visual classification with multi-task joint sparse representation
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
Xiaotong Yuan, Shuicheng Yan
ECCV
2004
Springer
16 years 8 months ago
Dimensionality Reduction by Canonical Contextual Correlation Projections
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
Marco Loog, Bram van Ginneken, Robert P. W. Duin
199
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ECCV
2002
Springer
16 years 8 months ago
Learning the Topology of Object Views
A visual representation of an object must meet at least three basic requirements. First, it must allow identification of the object in the presence of slight but unpredictable chan...
Christoph von der Malsburg, Jan Wieghardt, Rolf P....