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» Visual nonlinear discriminant analysis for classifier design
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MICCAI
2002
Springer
15 years 10 months ago
Discriminative Analysis for Image-Based Studies
Abstract. In this paper, we present a methodology for performing statistical analysis for image-based studies of differences between populations and describe our experience applyin...
Polina Golland, Bruce Fischl, Mona Spiridon, Nancy...
CVPR
2001
IEEE
15 years 11 months ago
Small Sample Learning during Multimedia Retrieval using BiasMap
All positive examples are alike; each negative example is negative in its own way. During interactive multimedia information retrieval, the number of training samples fed-back by ...
Xiang Sean Zhou, Thomas S. Huang
ISBI
2004
IEEE
15 years 10 months ago
Nonlinear Dimension Reduction of fMRI Data: The Laplacian Embedding Approach
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
Olivier D. Faugeras, Bertrand Thirion
116
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ICCV
2007
IEEE
15 years 1 months ago
Probabilistic Linear Discriminant Analysis for Inferences About Identity
Many current face recognition algorithms perform badly when the lighting or pose of the probe and gallery images differ. In this paper we present a novel algorithm designed for th...
Simon J. D. Prince, James H. Elder
ICCV
2011
IEEE
13 years 9 months ago
Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...
Tianshi Gao, Daphne Koller