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» Scale-Time Kernels and Models
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CVPR
2010
IEEE
14 years 3 months ago
Efficient Additive Kernels via Explicit Feature Maps
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
Andrea Vedaldi, Andrew Zisserman
AAAI
2007
13 years 9 months ago
A Randomized String Kernel and Its Application to RNA Interference
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
Shibin Qiu, Terran Lane, Ljubomir J. Buturovic
ICASSP
2011
IEEE
12 years 11 months ago
Probabilistic distance SVM with Hellinger-Exponential Kernel for sound event classification
This paper presents a novel method for sound event classification based on probabilistic distance SVM. The basic idea is to embed probabilistic distances into classical SVM to cl...
Tran Huy Dat, Haizhou Li
ICANN
2009
Springer
14 years 2 months ago
Using Kernel Basis with Relevance Vector Machine for Feature Selection
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
Frederic Suard, David Mercier
CVPR
2012
IEEE
12 years 26 days ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or