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» Multiple Kernel Learning with High Order Kernels
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IBPRIA
2009
Springer
13 years 5 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
13 years 9 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
14 years 1 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
13 years 8 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»
12 years 3 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