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» Alignment using Spectral Clusters
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ICC
2009
IEEE
142views Communications» more  ICC 2009»
14 years 4 months ago
Revealing Social Networks of Spammers Through Spectral Clustering
—To date, most studies on spam have focused only on the spamming phase of the spam cycle and have ignored the harvesting phase, which consists of the mass acquisition of email ad...
Kevin S. Xu, Mark Kliger, Yilun Chen, Peter J. Woo...
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 7 months ago
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Matthias Hein, Thomas Bühler
SPIESR
2003
136views Database» more  SPIESR 2003»
13 years 11 months ago
Media segmentation using self-similarity decomposition
We present a framework for analyzing the structure of digital media streams. Though our methods work for video, text, and audio, we concentrate on detecting the structure of digit...
Jonathan Foote, Matthew L. Cooper
CIKM
2009
Springer
14 years 4 months ago
Linear predictive coding representation of correlated mutation for protein sequence alignment
Background: Although both conservation and correlated mutation (CM) are important information reflecting the different sorts of context in multiple sequence alignment, most of ali...
Chan-seok Jeong, Dongsup Kim
JCP
2007
149views more  JCP 2007»
13 years 10 months ago
Partitional Clustering Techniques for Multi-Spectral Image Segmentation
Abstract— Analyzing unknown data sets such as multispectral images often requires unsupervised techniques. Data clustering is a well known and widely used approach in such cases....
Danielle Nuzillard, Cosmin Lazar