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» Sampling Techniques for Kernel Methods
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ICIP
2005
IEEE
15 years 11 months ago
Efficient down-up sampling using DCT kernel for MPEG-21 SVC
Down-up sampling of images is an essential process for spatial scalability of the video coding standard. We propose an efficient down-up sampling method in spatial domain using DC...
Il-hong Shin, Hyun Wook Park
CVPR
2010
IEEE
15 years 5 months ago
A Square-Root Sampling Approach to Fast Histogram-Based Search
We present an efficient pixel-sampling technique for histogram-based search. Given a template image as a query, a typical histogram-based algorithm aims to find the location of ...
Huang-Wei Chang, Hwann-Tzong Chen
ISNN
2009
Springer
15 years 4 months ago
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
Weiya Shi, Yue-Fei Guo
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ICPR
2010
IEEE
14 years 7 months ago
Multiple Kernel Learning with High Order Kernels
Previous Multiple Kernel Learning approaches (MKL) employ different kernels by their linear combination. Though some improvements have been achieved over methods using single kerne...
Shuhui Wang, Shuqiang Jiang, Qingming Huang, Qi Ti...
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...