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» The Sinkhorn-Knopp Algorithm: Convergence and Applications
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NIPS
2007
13 years 9 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
JMIV
2006
72views more  JMIV 2006»
13 years 7 months ago
A Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications
We propose a new method for the Lambertian Shape From Shading (SFS) problem based on the notion of Crandall-Lions viscosity solution. This method has the advantage of requiring the...
Emmanuel Prados, Fabio Camilli, Olivier D. Faugera...
MMS
2007
13 years 7 months ago
Modeling user context with applications to media retrieval
In this paper, we develop a theoretical understanding of multi-sensory knowledge and user context and their interrelationships. This is used to develop a generic representation fr...
Ankur Mani, Hari Sundaram
WCNC
2010
IEEE
13 years 11 months ago
A New LLMS Algorithm for Antenna Array Beamforming
A new adaptive algorithm, called LLMS, which employs an array image factor, IA , sandwiched in between two Least Mean Square (LMS) sections, is proposed for different applications ...
Jalal Abdulsayed Srar, Kah-Seng Chung, Ali Mansour
SIAMJO
2010
246views more  SIAMJO 2010»
13 years 6 months ago
A Singular Value Thresholding Algorithm for Matrix Completion
This paper introduces a novel algorithm to approximate the matrix with minimum nuclear norm among all matrices obeying a set of convex constraints. This problem may be understood a...
Jian-Feng Cai, Emmanuel J. Candès, Zuowei S...