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» Maximal Vector Computation in Large Data Sets
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IH
2005
Springer
14 years 2 months ago
Data Hiding in Compiled Program Binaries for Enhancing Computer System Performance
Abstract. Information hiding has been studied in many security applications such as authentication, copyright management and digital forensics. In this work, we introduce a new app...
Ashwin Swaminathan, Yinian Mao, Min Wu, Krishnan K...
ICCV
2007
IEEE
13 years 11 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
ICPR
2006
IEEE
14 years 10 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
ECCV
2008
Springer
14 years 11 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
HEURISTICS
1998
103views more  HEURISTICS 1998»
13 years 9 months ago
Computing Approximate Solutions of the Maximum Covering Problem with GRASP
We consider the maximum covering problem, a combinatorial optimization problem that arises in many facility location problems. In this problem, a potential facility site covers a s...
Mauricio G. C. Resende