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» Application of Level Set Methods in Computer Vision
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BMCBI
2005
89views more  BMCBI 2005»
15 years 6 months ago
Theme discovery from gene lists for identification and viewing of multiple functional groups
Background: High throughput methods of the genome era produce vast amounts of data in the form of gene lists. These lists are large and difficult to interpret without advanced com...
Petri Pehkonen, Garry Wong, Petri Töröne...
ALP
1994
Springer
15 years 10 months ago
Compositional Analysis for Equational Horn Programs
Abstract. We introduce a compositional characterization of the operational semantics of equational Horn programs. Then we show that this semantics and the standard operational sema...
María Alpuente, Moreno Falaschi, Germ&aacut...
KDD
2009
ACM
196views Data Mining» more  KDD 2009»
16 years 1 months ago
WhereNext: a location predictor on trajectory pattern mining
The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data. This side effect provides the opportunity for innovative meth...
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fo...
BMCBI
2004
126views more  BMCBI 2004»
15 years 6 months ago
Visualization and analysis of microarray and gene ontology data with treemaps
Background: The increasing complexity of genomic data presents several challenges for biologists. Limited computer monitor views of data complexity and the dynamic nature of data ...
Eric H. Baehrecke, Niem Dang, Ketan Babaria, Ben S...
197
Voted
CVPR
2001
IEEE
16 years 8 months ago
Clustering Art
We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
Kobus Barnard, Pinar Duygulu, David A. Forsyth