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» Set cover algorithms for very large datasets
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IJCV
2007
194views more  IJCV 2007»
15 years 4 months ago
Self-Invertible 2D Log-Gabor Wavelets
Orthogonal and biorthogonal wavelets became very popular image processing tools but exhibit major drawbacks, namely a poor resolution in orientation and the lack of translation inv...
Sylvain Fischer, Filip Sroubek, Laurent Perrinet, ...
130
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VR
1999
IEEE
112views Virtual Reality» more  VR 1999»
15 years 8 months ago
Third-Person Navigation of Whole-Planet Terrain in a Head-tracked Stereoscopic Environment
Navigation and interaction in virtual environments that use stereoscopic head-tracked displays and have very large data sets present several challenges beyond those encountered wi...
Zachary Wartell, William Ribarsky, Larry F. Hodges
KDD
2010
ACM
223views Data Mining» more  KDD 2010»
15 years 8 months ago
Frequent regular itemset mining
Concise representations of frequent itemsets sacrifice readability and direct interpretability by a data analyst of the concise patterns extracted. In this paper, we introduce an...
Salvatore Ruggieri
143
Voted
TIP
2008
175views more  TIP 2008»
15 years 4 months ago
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
Baofeng Guo, Steve R. Gunn, Robert I. Damper, Jame...
AIPR
2002
IEEE
15 years 9 months ago
ICA Mixture Model based Unsupervised Classification of Hyperspectral Imagery
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...