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» Classifier Combining Rules Under Independence Assumptions
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NIPS
1997
13 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
CVPR
2010
IEEE
14 years 2 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan
ICCV
2003
IEEE
14 years 8 months ago
Fusion of Static and Dynamic Body Biometrics for Gait Recognition
Human identification at a distance has recently gained growing interest from computer vision researchers. This paper aims to propose a visual recognition algorithm based upon fusi...
Liang Wang, Huazhong Ning, Tieniu Tan, Weiming Hu
NIPS
2004
13 years 8 months ago
Conditional Random Fields for Object Recognition
We present a discriminative part-based approach for the recognition of object classes from unsegmented cluttered scenes. Objects are modeled as flexible constellations of parts co...
Ariadna Quattoni, Michael Collins, Trevor Darrell
PAMI
2007
110views more  PAMI 2007»
13 years 6 months ago
Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures
—This paper focus on noncooperative iris recognition, i.e., the capture of iris images at large distances, under less controlled lighting conditions, and without active participa...
Hugo Proença, Luís A. Alexandre