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» Semi-supervised learning by search of optimal target vector
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ICML
2009
IEEE
14 years 3 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
ICML
2002
IEEE
14 years 9 months ago
Learning from Scarce Experience
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
Leonid Peshkin, Christian R. Shelton
CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
14 years 1 months ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...
ECCV
2010
Springer
13 years 9 months ago
Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization
Abstract. The sparse representation has been widely used in many areas and utilized for visual tracking. Tracking with sparse representation is formulated as searching for samples ...
Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, ...
LCPC
2005
Springer
14 years 2 months ago
Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization
Compilers employ system models, sometimes implicitly, to make code optimization decisions. These models are analytic; they reflect their implementor’s understanding and beliefs ...
Arkady Epshteyn, María Jesús Garzar&...