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» Model order selection for bio-molecular data clustering
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ECML
2006
Springer
15 years 9 months ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang
STACS
2007
Springer
16 years 5 days ago
Small Space Representations for Metric Min-Sum k -Clustering and Their Applications
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
Artur Czumaj, Christian Sohler
SIGMOD
2004
ACM
122views Database» more  SIGMOD 2004»
16 years 6 months ago
Adapting to Source Properties in Processing Data Integration Queries
An effective query optimizer finds a query plan that exploits the characteristics of the source data. In data integration, little is known in advance about sources' propertie...
Zachary G. Ives, Alon Y. Halevy, Daniel S. Weld
VLDB
2002
ACM
106views Database» more  VLDB 2002»
15 years 5 months ago
Structure and Value Synopses for XML Data Graphs
All existing proposals for querying XML (e.g., XQuery) rely on a pattern-specification language that allows (1) path navigation and branching through the label structure of the XM...
Neoklis Polyzotis, Minos N. Garofalakis
210
Voted
ICASSP
2009
IEEE
15 years 3 months ago
Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
Shoko Araki, Tomohiro Nakatani, Hiroshi Sawada, Sh...