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» Pattern Search Methods for Linearly Constrained Minimization
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CVPR
2008
IEEE
14 years 9 months ago
Semi-Supervised Discriminant Analysis using robust path-based similarity
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
Yu Zhang, Dit-Yan Yeung
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 7 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
GIS
2005
ACM
14 years 8 months ago
Shapes based trajectory queries for moving objects
An interesting issue in moving objects databases is to find similar trajectories of moving objects. Previous work on this topic focuses on movement patterns (trajectories with tim...
Bin Lin, Jianwen Su
IR
2008
13 years 7 months ago
A compressed self-index using a Ziv-Lempel dictionary
A compressed full-text self-index for a text T , of size u, is a data structure used to search for patterns P, of size m, in T , that requires reduced space, i.e. space that depend...
Luís M. S. Russo, Arlindo L. Oliveira
PAMI
2012
11 years 11 months ago
Simultaneous Video Stabilization and Moving Object Detection in Turbulence
Turbulence mitigation refers to the stabilization of videos with non-uniform deformations due to the influence of optical turbulence. Typical approaches for turbulence mitigation ...
Omar Oreifej, Xin Li, and Mubarak Shah