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» Data Stream Clustering: Challenges and Issues
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SIGMOD
2003
ACM
104views Database» more  SIGMOD 2003»
14 years 8 months ago
TelegraphCQ: Continuous Dataflow Processing
Increasingly pervasive networks are leading towards a world where data is constantly in motion. In such a world, conventional techniques for query processing, which were developed...
Sirish Chandrasekaran, Owen Cooper, Amol Deshpande...
BMCBI
2006
165views more  BMCBI 2006»
13 years 7 months ago
Validation and functional annotation of expression-based clusters based on gene ontology
Background: The biological interpretation of large-scale gene expression data is one of the paramount challenges in current bioinformatics. In particular, placing the results in t...
Ralf Steuer, Peter Humburg, Joachim Selbig
ECAI
2008
Springer
13 years 9 months ago
Semantic Activity Recognition
Extracting automatically the semantics from visual data is a real challenge. We describe in this paper how recent work in cognitive vision leads to significative results in activi...
Monique Thonnat
UIST
2004
ACM
14 years 1 months ago
Hierarchical parsing and recognition of hand-sketched diagrams
A long standing challenge in pen-based computer interaction is the ability to make sense of informal sketches. A main difficulty lies in reliably extracting and recognizing the i...
Levent Burak Kara, Thomas F. Stahovich
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
14 years 1 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang