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» Feature Generation Using General Constructor Functions
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TVCG
2011
146views more  TVCG 2011»
13 years 2 months ago
Visibility Histograms and Visibility-Driven Transfer Functions
—Direct volume rendering is an important tool for visualizing complex data sets. However, in the process of generating 2D images from 3D data, information is lost in the form of ...
Carlos D. Correa, Kwan-Liu Ma
OOPSLA
2004
Springer
14 years 1 months ago
Resolving feature convolution in middleware systems
Middleware provides simplicity and uniformity for the development of distributed applications. However, the modularity of the architecture of middleware is starting to disintegrat...
Charles Zhang, Hans-Arno Jacobsen
CVPR
2010
IEEE
14 years 7 days ago
Local Features Are Not Lonely - Laplacian Sparse Coding for Image Classification
Sparse coding which encodes the original signal in a sparse signal space, has shown its state-of-the-art performance in the visual codebook generation and feature quantization pro...
Shenghua Gao, Wai-Hung Tsang, Liang-Tien Chia, Pei...
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
13 years 9 months ago
Feature Selection for Nonlinear Kernel Support Vector Machines
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
Olvi L. Mangasarian, Gang Kou
CVPR
2012
IEEE
11 years 10 months ago
Linear discriminative image processing operator analysis
In this paper, we propose a method to select a discriminative set of image processing operations for Linear Discriminant Analysis (LDA) as an application of the use of generating ...
Toru Tamaki, Bingzhi Yuan, Kengo Harada, Bisser Ra...