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INFORMATICALT
2006
150views more  INFORMATICALT 2006»
15 years 18 days ago
A Multiresolution Approach Based on MRF and Bak-Sneppen Models for Image Segmentation
The two major Markov Random Fields (MRF) based algorithms for image segmentation are the Simulated Annealing (SA) and Iterated Conditional Modes (ICM). In practice, compared to the...
Kamal E. Melkemi, Mohamed Batouche, Sebti Foufou
75
Voted
JMLR
2006
80views more  JMLR 2006»
15 years 17 days ago
Large Scale Transductive SVMs
We show how the concave-convex procedure can be applied to transductive SVMs, which traditionally require solving a combinatorial search problem. This provides for the first time ...
Ronan Collobert, Fabian H. Sinz, Jason Weston, L&e...
95
Voted
MP
2006
113views more  MP 2006»
15 years 17 days ago
A class of polynomially solvable linear complementarity problems
Although the general linear complementarity problem (LCP) is NP-complete, there are special classes that can be solved in polynomial time. One example is the type where the definin...
Teresa H. Chu
84
Voted
MP
2006
134views more  MP 2006»
15 years 17 days ago
Cubic regularization of Newton method and its global performance
In this paper, we provide theoretical analysis for a cubic regularization of Newton method as applied to unconstrained minimization problem. For this scheme, we prove general local...
Yurii Nesterov, Boris T. Polyak
101
Voted
NECO
2006
118views more  NECO 2006»
15 years 17 days ago
Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines
Boltzmann machine is a classic model of neural computation, and a number of methods have been proposed for its estimation. Most methods are plagued by either very slow convergence...
Aapo Hyvärinen