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» Dimensionality Reduction for Image Retrieval
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SI3D
1992
ACM
13 years 11 months ago
Lights from Highlights and Shadows
Designing the illumination of a scene is a di cult task because one needs to render the whole scene in order to look at the result. Obtaining the correct lighting e ects may requi...
Pierre Poulin, Alain Fournier
CVPR
2004
IEEE
13 years 11 months ago
Visual Object Categorization Using Distance-Based Discriminant Analysis
This paper formulates the problem of object categorization in the discriminant analysis framework focusing on transforming visual feature data so as to make it conform to the comp...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...
APGV
2008
ACM
145views Visualization» more  APGV 2008»
13 years 9 months ago
On optimal resampling of view and illumination dependent textures
The use of illumination and view dependent textural information is one way to capture the realistic appearance of genuine materials. One example of such data is the bidirectional ...
Jirí Filip, Mike J. Chantler, Michal Haindl
ICMLA
2007
13 years 9 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
PAMI
2008
391views more  PAMI 2008»
13 years 7 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha