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ICML
2010
IEEE
15 years 21 days ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
ATAL
2005
Springer
15 years 5 months ago
Kaa: policy-based explorations of a richer model for adjustable autonomy
Though adjustable autonomy is hardly a new topic in agent systems, there has been a general lack of consensus on terminology and basic concepts. In this paper, we describe the mul...
Jeffrey M. Bradshaw, Hyuckchul Jung, Shriniwas Kul...
ICMCS
2006
IEEE
129views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Modeling Interactions from Email Communication
Email plays an important role as a medium for the spread of information, ideas, and influence among its users. We present a framework to learn topic-based interactions between pa...
Dong Zhang, Daniel Gatica-Perez, Deb Roy, Samy Ben...
KDD
2008
ACM
232views Data Mining» more  KDD 2008»
16 years 1 days ago
Anticipating annotations and emerging trends in biomedical literature
The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
Bernd Wachmann, Dmitriy Fradkin, Fabian Mörch...
SIGIR
2009
ACM
15 years 6 months ago
Named entity recognition in query
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...
Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li