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PR
2007
104views more  PR 2007»
15 years 1 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
PPSN
2010
Springer
15 years 22 days ago
Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D Tomography
Abstract. We present and analyse the behaviour of specialised operators designed for cooperative coevolution strategy in the framework of 3D tomographic PET reconstruction. The bas...
Franck Patrick Vidal, Evelyne Lutton, Jean Louchet...
DEXA
2010
Springer
187views Database» more  DEXA 2010»
15 years 10 days ago
Pivot Selection Method for Optimizing both Pruning and Balancing in Metric Space Indexes
We researched to try to find a way to reduce the cost of nearest neighbor searches in metric spaces. Many similarity search indexes recursively divide a region into subregions by u...
Hisashi Kurasawa, Daiji Fukagawa, Atsuhiro Takasu,...
124
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ICIP
2009
IEEE
15 years 2 days ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu
143
Voted
CVPR
2007
IEEE
16 years 4 months ago
Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection
Tracking objects using the mean shift method is performed by iteratively translating a kernel in the image space such that the past and current object observations are similar. Tr...
Alper Yilmaz