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KDD
2012
ACM
183views Data Mining» more  KDD 2012»
11 years 7 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
12 years 4 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
12 years 4 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»
13 years 4 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»
13 years 10 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