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» Direct Nonlinear Order Reduction with Variational Analysis
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BIOINFORMATICS
2005
151views more  BIOINFORMATICS 2005»
13 years 7 months ago
Differential and trajectory methods for time course gene expression data
Motivation: The issue of high dimensionality in microarray data has been, and remains, a hot topic in statistical and computational analysis. Efficient gene filtering and differen...
Yulan Liang, Bamidele Tayo, Xueya Cai, Arpad Kelem...
FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
14 years 2 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...
NIPS
2008
13 years 9 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake
WACV
2005
IEEE
14 years 1 months ago
Isomap and Nonparametric Models of Image Deformation
Isomap is an exemplar of a set of data driven nonlinear dimensionality reduction techniques that have shown promise for the analysis of images and video. These methods parameteriz...
Richard Souvenir, Robert Pless
PR
2000
120views more  PR 2000»
13 years 7 months ago
On internal representations in face recognition systems
This survey compares internal representations of the recent as well as more traditional face recognition techniques to classify them into several broad categories. The categories ...
Maxim A. Grudin