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ICML
2008
IEEE
14 years 11 months ago
Efficiently solving convex relaxations for MAP estimation
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
M. Pawan Kumar, Philip H. S. Torr
CVPR
2010
IEEE
14 years 6 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
ISPD
1999
ACM
112views Hardware» more  ISPD 1999»
14 years 2 months ago
Arbitrary convex and concave rectilinear block packing using sequence-pair
The sequence-pair was proposed in 1994 as a representation of the packing of rectangles of general structure. Since then, there have been e orts to expand its applicability over s...
Kunihiro Fujiyoshi, Hiroshi Murata
CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
13 years 11 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
IJCAI
1997
13 years 11 months ago
Constraint Satisfaction over Connected Row Convex Constraints
This paper studies constraint satisfaction over connected row-convex (CRC) constraints. It shows that CRC constraints are closed under composition, intersection, and transposition...
Yves Deville, Olivier Barette, Pascal Van Hentenry...