Sciweavers

560 search results - page 35 / 112
» Level-set methods for convex optimization
Sort
View
CVPR
2010
IEEE
15 years 2 months ago
Learning kernels for variants of normalized cuts: Convex relaxations and applications
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chr...
AAAI
2012
13 years 4 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
ASAP
2008
IEEE
105views Hardware» more  ASAP 2008»
15 years 4 months ago
Fast custom instruction identification by convex subgraph enumeration
Automatic generation of custom instruction processors from high-level application descriptions enables fast design space exploration, while offering very favorable performance and...
Kubilay Atasu, Oskar Mencer, Wayne Luk, Can C. &Ou...
ICPR
2008
IEEE
16 years 3 months ago
Image segmentation by convex quadratic programming
A quadratic programming formulation for multiclass image segmentation is investigated. It is proved that, in the convex case, the non-negativity constraint on the recent reported ...
Mariano Rivera, Oscar Dalmau Cedeño, Josue ...
CVPR
2010
IEEE
15 years 9 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr