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IJHPCA
2008
104views more  IJHPCA 2008»
14 years 10 months ago
Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
Qian Du, James E. Fowler
TCSV
2008
152views more  TCSV 2008»
14 years 10 months ago
Animation Key-Frame Extraction and Simplification Using Deformation Analysis
Three-dimensional animating meshes have been widely used in the computer graphics and video game industries. Reducing the animating mesh complexity is a common way of overcoming th...
Tong-Yee Lee, Chao-Hung Lin, Yu-Shuen Wang, Tai-Gu...
JCM
2007
81views more  JCM 2007»
14 years 10 months ago
Some Analysis in Distributed MIMO Systems
Abstract—The predicted capacity gain of a traditional colocated MIMO system is often severely limited in realistic propagation scenarios, especially when the number of antennas b...
Huaiyu Dai, Hongyuan Zhang, Quan Zhou
GW
2009
Springer
187views Biometrics» more  GW 2009»
14 years 7 months ago
Gesture Saliency: A Context-Aware Analysis
This paper presents a motion attention model that aims at analyzing gesture saliency using context-related information at three different levels. At the first level, motion feature...
Matei Mancas, Donald Glowinski, Gualtiero Volpe, P...
GIS
2009
ACM
15 years 2 months ago
REG^2: a regional regression framework for geo-referenced datasets
Traditional regression analysis derives global relationships between variables and neglects spatial variations in variables. Hence they lack the ability to systematically discover...
Oner Ulvi Celepcikay, Christoph F. Eick