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» Handling Sparse Data by Successive Abstraction
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ECML
2007
Springer
14 years 3 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
SCIA
2005
Springer
158views Image Analysis» more  SCIA 2005»
14 years 3 months ago
A Graph Representation of Filter Networks
Abstract. Filter networks, i.e. decomposition of a filter set into a layered structure of sparse subfilters has been proven successful for e.g. efficient convolution using finit...
Björn Svensson, Mats T. Andersson, Hans Knuts...
RECOMB
2005
Springer
14 years 10 months ago
A Framework for Orthology Assignment from Gene Rearrangement Data
Abstract. Gene rearrangements have been used successfully in phylogenetic reconstruction and comparative genomics, but usually under the assumption that all genomes have the same g...
Krister M. Swenson, Nicholas D. Pattengale, Bernar...
CORR
2010
Springer
93views Education» more  CORR 2010»
13 years 9 months ago
Scalable XML Collaborative Editing with Undo short paper
Abstract. Commutative Replicated Data-Type (CRDT) is a new class of algorithms that ensures scalable consistency of replicated data. It has been successfully applied to collaborati...
Stéphane Martin, Pascal Urso, Stépha...
EJIVP
2010
107views more  EJIVP 2010»
13 years 4 months ago
Unsupervised Action Classification Using Space-Time Link Analysis
Abstract--In this paper we address the problem of unsupervised discovery of action classes in video data. Different from all existing methods thus far proposed for this task, we pr...
Haowei Liu, Rogerio Feris, Volker Krüger, Min...