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» Using Probabilistic Information in Data Integration
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NPL
2006
85views more  NPL 2006»
13 years 7 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
CVPR
2011
IEEE
13 years 3 months ago
Recognizing Human Actions by Attributes
In this paper we explore the idea of using high-level semantic concepts, also called attributes, to represent human actions from videos and argue that attributes enable the constr...
Jingen Liu
ICASSP
2011
IEEE
12 years 11 months ago
Exploiting query click logs for utterance domain detection in spoken language understanding
In this paper, we describe methods to exploit search queries mined from search engine query logs to improve domain detection in spoken language understanding. We propose extending...
Dilek Hakkani-Tür, Larry Heck, Gökhan T&...
INFOCOM
2011
IEEE
12 years 11 months ago
Maintaining source privacy under eavesdropping and node compromise attacks
—In a sensor network, an important problem is to provide privacy to the event detecting sensor node and integrity to the data gathered by the node. Compromised source privacy can...
Kanthakumar Pongaliur, Li Xiao
BMCBI
2008
116views more  BMCBI 2008»
13 years 7 months ago
Gene Ontology annotations: what they mean and where they come from
To address the challenges of information integration and retrieval, the computational genomics community increasingly has come to rely on the methodology of creating annotations o...
David P. Hill, Barry Smith, Monica S. McAndrews-Hi...