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» A Diagrammatic Approach to Model Completion
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AAAI
1994
15 years 2 months ago
Acting Optimally in Partially Observable Stochastic Domains
In this paper, we describe the partially observable Markov decision process pomdp approach to nding optimal or near-optimal control strategies for partially observable stochastic ...
Anthony R. Cassandra, Leslie Pack Kaelbling, Micha...
174
Voted
VLDB
2008
ACM
127views Database» more  VLDB 2008»
16 years 27 days ago
Delay aware querying with Seaweed
Large highly distributed data sets are poorly supported by current query technologies. Applications such as endsystembased network management are characterized by data stored on l...
Dushyanth Narayanan, Austin Donnelly, Richard Mort...
111
Voted
ICCV
2011
IEEE
14 years 21 days ago
Gaussian Process Regression Flow for Analysis of Motion Trajectories
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...
Kihwan Kim, Dongryeol Lee, Irfan Essa
135
Voted
LPAR
2012
Springer
13 years 8 months ago
Lazy Abstraction with Interpolants for Arrays
traction with Interpolants for Arrays Francesco Alberti1 , Roberto Bruttomesso2 , Silvio Ghilardi2 , Silvio Ranise3 , Natasha Sharygina1 1 Universit`a della Svizzera Italiana, Luga...
Francesco Alberti, Roberto Bruttomesso, Silvio Ghi...
122
Voted
CVPR
2012
IEEE
13 years 3 months ago
Coupling detection and data association for multiple object tracking
We present a novel framework for multiple object tracking in which the problems of object detection and data association are expressed by a single objective function. The framewor...
Zheng Wu, Ashwin Thangali, Stan Sclaroff, Margrit ...