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209
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SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
15 years 8 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
153
Voted
CGIM
2003
15 years 8 months ago
Silhouette-Opaque Transparency Rendering
Transparency in 3D graphics has traditionally been created by ordering the transparent objects from back-to-front with respect to the viewpoint, and rendering the opaque objects ...
O. Sen, C. Chemudugunta, M. Gopi
195
Voted
NIPS
2004
15 years 8 months ago
Efficient Kernel Discriminant Analysis via QR Decomposition
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladi...
173
Voted
NIPS
1993
15 years 8 months ago
Surface Learning with Applications to Lipreading
Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
Christoph Bregler, Stephen M. Omohundro
199
Voted
TFCV
1994
15 years 8 months ago
Attentive Visual Motion Processing: Computations in the Log-Polar Plane
Attentive vision is characterized by selective sensing in space and time as well as selective processing with respect to a speci c task. Selection in space involves the splitting ...
Konstantinos Daniilidis