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NIPS
2004
15 years 7 months ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
16 years 3 days ago
A Bernoulli Relational Model for Nonlinear Embedding
The notion of relations is extremely important in mathematics. In this paper, we use relations to describe the embedding problem and propose a novel stochastic relational model fo...
Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. L...
IMAGING
2000
15 years 7 months ago
Illuminant Estimation: Beyond the Bases
We describe spectral estimation principles that are useful for color balancing, color conversion, and sensor design. The principles extend conventional estimation methods, which r...
Jeffrey M. DiCarlo, Brian A. Wandell
ICCV
2003
IEEE
16 years 8 months ago
Image Statistics and Anisotropic Diffusion
Many sensing techniques and image processing applications are characterized by noisy, or corrupted, image data. Anisotropic diffusion is a popular, and theoretically well understo...
Hanno Scharr, Michael J. Black, Horst W. Haussecke...
GCC
2005
Springer
16 years 14 hour ago
The Architecture of SIG Computing Environment and Its Application to Image Processing
Spatial Information Grid (SIG) is a project of applying grid technology to share and integrate spatial data resources, information processing resources, equipment resources, and kn...
Chunhui Yang, Deke Guo, Yan Ren, Xueshan Luo, Jinf...