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» Optimizing Feature Sets for Structured Data
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ECCV
2006
Springer
15 years 11 months ago
Detecting Instances of Shape Classes That Exhibit Variable Structure
This paper proposes a method for detecting instances of shape classes that exhibit variable structure. The term "variable structure" is used to characterize shape classes...
Vassilis Athitsos, Jingbin Wang, Stan Sclaroff, Ma...
TIT
2002
90views more  TIT 2002»
14 years 9 months ago
Optimal sequences for CDMA under colored noise: A Schur-saddle function property
We consider direct sequence code division multiple access (DS-CDMA), modeling interference from users communicating with neighboring base stations by additive colored noise. We con...
Pramod Viswanath, Venkat Anantharam
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
15 years 10 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
AMW
2010
14 years 11 months ago
Run-time Optimization for Pipelined Systems
Traditional optimizers fail to pick good execution plans, when faced with increasingly complex queries and large data sets. This failure is even more acute in the context of XQuery...
Riham Abdel Kader, Maurice van Keulen, Peter A. Bo...
CVPR
2007
IEEE
15 years 12 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li