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» Generalized Boosting Algorithms for Convex Optimization
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CVPR
2009
IEEE
14 years 5 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
SDM
2012
SIAM
273views Data Mining» more  SDM 2012»
11 years 10 months ago
A Framework for the Evaluation and Management of Network Centrality
Network-analysis literature is rich in node-centrality measures that quantify the centrality of a node as a function of the (shortest) paths of the network that go through it. Exi...
Vatche Ishakian, Dóra Erdös, Evimaria ...
NIPS
2007
13 years 9 months ago
A Spectral Regularization Framework for Multi-Task Structure Learning
Learning the common structure shared by a set of supervised tasks is an important practical and theoretical problem. Knowledge of this structure may lead to better generalization ...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
GLOBECOM
2008
IEEE
13 years 7 months ago
Power Allocation for Cognitive Radios Based on Primary User Activity in an OFDM System
Efficient and reliable power allocation algorithm in Cognitive radio (CR) networks is a challenging problem. Traditional water-filling algorithm is inefficient for CR networks due ...
Ziaul Hasan, Ekram Hossain, Charles L. Despins, Vi...
WABI
2007
Springer
123views Bioinformatics» more  WABI 2007»
14 years 1 months ago
Inverse Sequence Alignment from Partial Examples
When aligning biological sequences, the choice of parameter values for the alignment scoring function is critical. Small changes in gap penalties, for example, can yield radically ...
Eagu Kim, John D. Kececioglu