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NIPS
2004
14 years 12 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li
MLQ
2008
108views more  MLQ 2008»
14 years 10 months ago
Comparison of Picard groups in dimension 1
We compare two Picard groups in dimension one. Our proofs are constructive and the results generalize a theorem of J. Sands [11]. MSC 2000: 13C15, 13C20, 03F65, 13F45
Henri Lombardi, Claude Quitté
SODA
2000
ACM
148views Algorithms» more  SODA 2000»
14 years 12 months ago
Computing contour trees in all dimensions
We show that contour trees can be computed in all dimensions by a simple algorithm that merges two trees. Our algorithm extends, simplifies, and improves work of Tarasov and Vyaly...
Hamish Carr, Jack Snoeyink, Ulrike Axen
PRL
2002
87views more  PRL 2002»
14 years 10 months ago
Skeletons in N dimensions using shape primitives
This paper describes the generation of shape primitive detecting masks and their application in measurements on shapes as well as in conditions for topology preservation as used i...
Pieter Jonker
IDA
2009
Springer
14 years 8 months ago
Mining the Temporal Dimension of the Information Propagation
In the last decade, Social Network Analysis has been a field in which the effort devoted from several researchers in the Data Mining area has increased very fast. Among the possibl...
Michele Berlingerio, Michele Coscia, Fosca Giannot...