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KDD
2012
ACM
183views Data Mining» more  KDD 2012»
12 years 4 months ago
Mining discriminative components with low-rank and sparsity constraints for face recognition
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
Qiang Zhang, Baoxin Li
AAAI
2011
13 years 1 months ago
Dual Decomposition for Marginal Inference
We present a dual decomposition approach to the treereweighted belief propagation objective. Each tree in the tree-reweighted bound yields one subproblem, which can be solved with...
Justin Domke
ICCV
2011
IEEE
13 years 1 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis
NPL
2008
100views more  NPL 2008»
14 years 1 months ago
Comparing Combination Rules of Pairwise Neural Networks Classifiers
A decomposition approach to multiclass classification problems consists in decomposing a multiclass problem into a set of binary ones. Decomposition splits the complete multiclass ...
Olivier Lezoray, Hubert Cardot
ASPDAC
2004
ACM
105views Hardware» more  ASPDAC 2004»
14 years 7 months ago
Improved symbolic simulation by functional-space decomposition
Abstract — This paper presents a functional-space decomposition approach to enhance the capability of symbolic simulation. In our symbolic simulator, the control part and datapat...
Tao Feng, Li-C. Wang, Kwang-Ting Cheng