180 search results - page 24 / 36 » Introduction to Statistical Learning Theory |
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
We present a two-step method to speed-up object detection systems in computer vision that use Support Vector Machines (SVMs) as classifiers. In a first step we perform feature red...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
ICPR
2002
IEEE
14 years 14 days ago
2002
IEEE
This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
AAAI
2010
13 years 9 months ago
2010
We present the design and analysis of an approximately incentive-compatible combinatorial auction. In just a single run, the auction is able to extract enough value information fr...
AMC
2006
13 years 7 months ago
2006
The problem of distinguishing density-independent (DI) from density-dependent (DD) demographic time series is important for understanding the mechanisms that regulate populations ...