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ICPR
2008
IEEE
16 years 1 months ago
Unsupervised image embedding using nonparametric statistics
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
Guobiao Mei, Christian R. Shelton
ISWC
2003
IEEE
15 years 6 months ago
Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing
Context-aware computing describes the situation where a wearable / mobile computer is aware of its user’s state and surroundings and modifies its behavior based on this informat...
Andreas Krause, Daniel P. Siewiorek, Asim Smailagi...
CORR
2010
Springer
150views Education» more  CORR 2010»
15 years 24 days ago
Don't 'have a clue'? Unsupervised co-learning of downward-entailing operators
Researchers in textual entailment have begun to consider inferences involving downward-entailing operators, an interesting and important class of lexical items that change the way...
Cristian Danescu-Niculescu-Mizil, Lillian Lee
EMNLP
2010
14 years 10 months ago
Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing
Inducing a grammar directly from text is one of the oldest and most challenging tasks in Computational Linguistics. Significant progress has been made for inducing dependency gram...
Phil Blunsom, Trevor Cohn
141
Voted
WSDM
2012
ACM
252views Data Mining» more  WSDM 2012»
13 years 8 months ago
WebSets: extracting sets of entities from the web using unsupervised information extraction
We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluste...
Bhavana Bharat Dalvi, William W. Cohen, Jamie Call...