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TCSV
2008
195views more  TCSV 2008»
15 years 6 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
TKDE
2002
239views more  TKDE 2002»
15 years 6 months ago
An Efficient Path Computation Model for Hierarchically Structured Topographical Road Maps
In this paper, we have developed a HiTi (Hierarchical MulTi) graph model for structuring large topographical road maps to the minimum cost route computation. The HiTi graph model p...
Sungwon Jung, Sakti Pramanik
153
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APPROX
2006
Springer
107views Algorithms» more  APPROX 2006»
15 years 10 months ago
A Fast Random Sampling Algorithm for Sparsifying Matrices
We describe a simple random-sampling based procedure for producing sparse matrix approximations. Our procedure and analysis are extremely simple: the analysis uses nothing more th...
Sanjeev Arora, Elad Hazan, Satyen Kale
ICNC
2005
Springer
16 years 6 days ago
Genetic Algorithms for Thyroid Gland Ultrasound Image Feature Reduction
The problem of automatic classification of ultrasound images is addressed. For texture analysis of ultrasound images quantifiable indexes, called features, are used. Classificat...
Ludvík Tesar, Daniel Smutek, Jan Jiskra
CORR
2010
Springer
81views Education» more  CORR 2010»
15 years 1 months ago
Analysis of Agglomerative Clustering
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
Marcel R. Ackermann, Johannes Blömer, Daniel ...