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NIPS
1998
14 years 11 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
ICRA
2010
IEEE
130views Robotics» more  ICRA 2010»
14 years 8 months ago
Maintaining connectivity in environments with obstacles
Abstract— Robotic routers (mobile robots with wireless communication capabilities) can create an adaptive wireless network and provide communication services for mobile users ond...
Onur Tekdas, Patrick A. Plonski, Nikhil Karnad, Vo...
ICASSP
2009
IEEE
14 years 7 months ago
A reduced-reference video structural similarity metric based on no-reference estimation of channel-induced distortion
The reduced-reference (RR) approximation of a full-reference (FR) video quality assessment method is a convenient way to build evaluation metrics which are both intrinsically well...
Andrea Albonico, Giuseppe Valenzise, Matteo Naccar...
PE
2010
Springer
124views Optimization» more  PE 2010»
14 years 4 months ago
High-level approach to modeling of observed system behavior
Current computer systems and communication networks tend to be highly complex, and they typically hide their internal structure from their users. Thus, for selected aspects of cap...
Thomas Begin, Alexandre Brandwajn, Bruno Baynat, B...
CORR
2012
Springer
230views Education» more  CORR 2012»
13 years 5 months ago
Fast Triangle Counting through Wedge Sampling
Graphs and networks are used to model interactions in a variety of contexts, and there is a growing need to be able to quickly assess the qualities of a graph in order to understa...
C. Seshadhri, Ali Pinar, Tamara G. Kolda