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SCALESPACE
2009
Springer
16 years 25 days ago
On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems
We propose a regularization method for solving ill-posed problems, under the assumption that the solutions are piecewise constant functions with unknown level sets and unknown leve...
Adriano DeCezaro, Antonio Leitão, Xue-Cheng...
ICPR
2006
IEEE
16 years 7 months ago
Graph-based transformation manifolds for invariant pattern recognition with kernel methods
We present here an approach for applying the technique of modeling data transformation manifolds for invariant learning with kernel methods. The approach is based on building a ke...
Alexei Pozdnoukhov, Samy Bengio
DCC
2010
IEEE
15 years 11 months ago
Modeling the Quantization Staircase Function
Quantization plays a central role in data compression. In speech systems, vector quantizers are used to compress speech parameters. In video systems, scalar quantizers are used to...
Salman Aslam, Aaron F. Bobick, Christopher F. Barn...
SIAMJO
2010
84views more  SIAMJO 2010»
15 years 4 months ago
A Redistributed Proximal Bundle Method for Nonconvex Optimization
Proximal bundle methods have been shown to be highly successful optimization methods for unconstrained convex problems with discontinuous first derivatives. This naturally leads ...
Warren Hare, Claudia A. Sagastizábal
ACL
1998
15 years 7 months ago
Some Properties of Preposition and Subordinate Conjunction Attachments
Determining the attachments of prepositions and subordinate conjunctions is a key problem in parsing natural language. This paper presents a trainable approach to making these att...
Alexander S. Yeh, Marc B. Vilain