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JACM
2006
99views more  JACM 2006»
13 years 10 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
BMCBI
2005
120views more  BMCBI 2005»
13 years 10 months ago
SpectralNET - an application for spectral graph analysis and visualization
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
Joshua J. Forman, Paul A. Clemons, Stuart L. Schre...
CVPR
2008
IEEE
15 years 8 days ago
A unified framework for generalized Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Shuiwang Ji, Jieping Ye
ECCV
2004
Springer
15 years 4 days ago
Many-to-Many Feature Matching Using Spherical Coding of Directed Graphs
In recent work, we presented a framework for many-to-many matching of multi-scale feature hierarchies, in which features and their relations were captured in a vertex-labeled, edge...
M. Fatih Demirci, Ali Shokoufandeh, Sven J. Dickin...
ICIP
2006
IEEE
14 years 12 months ago
High Definition Video Transmission over Wlans with Time-Scale and R-D Optimized Rate Adaptation
In this paper, we propose a transrating based video rate adaptation technique for compressed high-definition video transmission over wireless local area networks. Our application ...
Mehmet Umut Demircin, Peter van Beek