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IJCNN
2006
IEEE
16 years 20 days ago
Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
Gavin C. Cawley
DAGM
2006
Springer
15 years 10 months ago
Near Real-Time Motion Segmentation Using Graph Cuts
We present a new approach to integrated motion estimation and segmentation by combining methods from discrete and continuous optimization. The velocity of each of a set of regions ...
Thomas Schoenemann, Daniel Cremers
CSDA
2006
102views more  CSDA 2006»
15 years 6 months ago
An improved Akaike information criterion for state-space model selection
Following the work of Hurvich, Shumway, and Tsai (1990), we propose an "improved" variant of the Akaike information criterion, AICi, for state-space model selection. The...
Thomas Bengtsson, Joseph E. Cavanaugh
AB
2007
Springer
15 years 10 months ago
Efficient Haplotype Inference with Pseudo-boolean Optimization
Abstract. Haplotype inference from genotype data is a key computational problem in bioinformatics, since retrieving directly haplotype information from DNA samples is not feasible ...
Ana Graça, João Marques-Silva, In&ec...
TCSV
2008
195views more  TCSV 2008»
15 years 6 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...