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CVPR
2009
IEEE
15 years 3 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
CVPR
2006
IEEE
14 years 10 months ago
Accelerated Kernel Feature Analysis
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-b...
Xianhua Jiang, Yuichi Motai, Robert R. Snapp, Xing...
AUSAI
2011
Springer
12 years 7 months ago
Image Feature Selection Based on Ant Colony Optimization
Image feature selection (FS) is an important task which can affect the performance of image classification and recognition. In this paper, we present a feature selection algorithm ...
Ling Chen, Bolun Chen, Yixin Chen
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
14 years 1 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
ICDAR
2003
IEEE
14 years 1 months ago
Integration of Contextual Information in Handwriting Recognition Systems
This paper investigates different strategies allowing integration of contextual information during the feature extraction stage of a cursive handwriting HMM-based recognition syst...
F. Grandidier, Robert Sabourin, Ching Y. Suen