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PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
16 years 1 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
ACL
2011
14 years 10 months ago
Learning Word Vectors for Sentiment Analysis
Unsupervised vector-based approaches to semantics can model rich lexical meanings, but they largely fail to capture sentiment information that is central to many word meanings and...
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Da...
ICIP
2002
IEEE
16 years 8 months ago
Learning a decision boundary for face detection
This paper describes a pattern classification approach for detecting frontal-view faces via learning a decision boundary. The classification can be achieved either by explicit est...
Tae-Kyun Kim, Donggeon Kong, Sang Ryong Kim
ISSTA
2006
ACM
16 years 14 days ago
Improving distributed memory applications testing by message perturbation
We present initial work on perturbation techniques that cause the manifestation of timing-related bugs in distributed memory Message Passing Interface (MPI)-based applications. Th...
Richard W. Vuduc, Martin Schulz, Daniel J. Quinlan...
ICCV
2009
IEEE
15 years 4 months ago
Landmark classification in large-scale image collections
With the rise of photo-sharing websites such as Facebook and Flickr has come dramatic growth in the number of photographs online. Recent research in object recognition has used su...
Yunpeng Li, David J. Crandall, Daniel P. Huttenloc...