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BIBM
2008
IEEE
142views Bioinformatics» more  BIBM 2008»
15 years 4 months ago
Using Global Sequence Similarity to Enhance Biological Sequence Labeling
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasa...
92
Voted
CVPR
2008
IEEE
15 years 11 months ago
Correlational spectral clustering
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
Matthew B. Blaschko, Christoph H. Lampert
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
15 years 6 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
SETA
2010
Springer
164views Mathematics» more  SETA 2010»
14 years 8 months ago
Synchronization of Boolean Dynamical Systems: A Spectral Characterization
Abstract. In this paper a spectral characterization of the synchronization property of Boolean dynamical systems is provided. Conditions on the spectrum of the next-state function ...
Jérémy Parriaux, Philippe Guillot, G...
ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
15 years 3 months ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang