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NIPS
2008
13 years 9 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
CVPR
2008
IEEE
14 years 9 months ago
Human action recognition using Local Spatio-Temporal Discriminant Embedding
Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions ...
Kui Jia, Dit-Yan Yeung
CVPR
2010
IEEE
14 years 4 months ago
Supervised Translation-Invariant Sparse Coding
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
Jianchao Yang, Kai Yu, Thomas Huang
CVPR
2010
IEEE
14 years 3 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
ICPR
2006
IEEE
14 years 8 months ago
Face Set Classification using Maximally Probable Mutual Modes
In this paper we consider face recognition from sets of face images and, in particular, recognition invariance to illumination. The main contribution is an algorithm based on the ...
Ognjen Arandjelovic, Roberto Cipolla