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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 5 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
CORR
2010
Springer
93views Education» more  CORR 2010»
13 years 5 months ago
Rank Awareness in Joint Sparse Recovery
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
Mike E. Davies, Yonina C. Eldar
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
14 years 5 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray
WABI
2009
Springer
132views Bioinformatics» more  WABI 2009»
13 years 12 months ago
mpscan: Fast Localisation of Multiple Reads in Genomes
Abstract. With Next Generation Sequencers, sequence based transcriptomic or epigenomic assays yield millions of short sequence reads that need to be mapped back on a reference geno...
Eric Rivals, Leena Salmela, Petteri Kiiskinen, Pet...
ESWS
2008
Springer
13 years 7 months ago
Contextual and Metadata-based Approach for the Semantic Annotation of Heterogeneous Documents
We present SHIRI-Annot an automatic ontology-driven and unsupervised approach for the semantic annotation of documents which contain well structured parts and not well structured o...
Mouhamadou Thiam, Nathalie Pernelle, Nacéra...