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ICASSP
2011
IEEE
12 years 11 months ago
Joint modeling of observed inter-arrival times and waveform data with multiple hidden states for neural spike-sorting
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
Brett Matthews, Mark Clements
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
14 years 2 months ago
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
NAR
2000
111views more  NAR 2000»
13 years 7 months ago
ProtoMap: automatic classification of protein sequences and hierarchy of protein families
The ProtoMap site offers an exhaustive classification of all proteins in the SWISS-PROT database, into groups of related proteins. The classification is based on analysis of all p...
Golan Yona, Nathan Linial, Michal Linial
EOR
2007
110views more  EOR 2007»
13 years 7 months ago
A hierarchical ant based clustering algorithm and its use in three real-world applications
In this paper is presented a new model for data clustering, which is inspired from the selfassembly behavior of real ants. Real ants can build complex structures by connecting the...
Hanene Azzag, Gilles Venturini, Antoine Oliver, Ch...
WWW
2006
ACM
14 years 8 months ago
Improved annotation of the blogosphere via autotagging and hierarchical clustering
Tags have recently become popular as a means of annotating and organizing Web pages and blog entries. Advocates of tagging argue that the use of tags produces a 'folksonomy&#...
Christopher H. Brooks, Nancy Montanez