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» Sampling Techniques for Kernel Methods
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SIGGRAPH
2010
ACM
15 years 2 months ago
Image deblurring using inertial measurement sensors
We present a deblurring algorithm that uses a hardware attachment coupled with a natural image prior to deblur images from consumer cameras. Our approach uses a combination of ine...
Neel Joshi, Sing Bing Kang, C. Lawrence Zitnick, R...
PR
2008
129views more  PR 2008»
14 years 10 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
SYNASC
2006
IEEE
211views Algorithms» more  SYNASC 2006»
15 years 4 months ago
HTML Pattern Generator--Automatic Data Extraction from Web Pages
Existing methods of information extraction from HTML documents include manual approach, supervised learning and automatic techniques. The manual method has high precision and reca...
Mirel Cosulschi, Adrian Giurca, Bogdan Udrescu, Ni...
BMCBI
2006
173views more  BMCBI 2006»
14 years 10 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
PG
2007
IEEE
15 years 4 months ago
Exact Evaluation of Non-Polynomial Subdivision Schemes at Rational Parameter Values
In this paper, we describe a method for exact evaluation of a limit mesh defined via subdivision on a uniform grid of any size. Other exact evaluation technique either restrict t...
Scott Schaefer, Joe D. Warren