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» Multiple Kernel Learning with High Order Kernels
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IBPRIA
2009
Springer
14 years 7 months ago
Real-Time Motion Detection for a Mobile Observer Using Multiple Kernel Tracking and Belief Propagation
We propose a novel statistical method for motion detection and background maintenance for a mobile observer. Our method is based on global motion estimation and statistical backgro...
Marc Vivet, Brais Martínez, Xavier Binefa
VISAPP
2008
14 years 11 months ago
Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation
In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
Danijel Skocaj, Matej Kristan, Ales Leonardis
ACSC
2005
IEEE
15 years 3 months ago
A High Performance Kernel-Less Operating System Architecture
Operating Systems provide services that are accessed by processes via mechanisms that involve a ring transition to transfer control to the kernel where the required function is pe...
Amit Vasudevan, Ramesh Yerraballi, Ashish Chawla
ICML
2010
IEEE
14 years 10 months ago
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
Mingkui Tan, Li Wang, Ivor W. Tsang
CORR
2012
Springer
171views Education» more  CORR 2012»
13 years 5 months ago
Random Feature Maps for Dot Product Kernels
Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
Purushottam Kar, Harish Karnick