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» Approximate Expectation Maximization
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95
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COMCOM
2006
147views more  COMCOM 2006»
14 years 11 months ago
Coverage-adaptive random sensor scheduling for application-aware data gathering in wireless sensor networks
Due to the application-specific nature of wireless sensor networks, application-aware algorithm and protocol design paradigms are highly required in order to optimize the overall ...
Wook Choi, Sajal K. Das
111
Voted
JMLR
2008
168views more  JMLR 2008»
14 years 11 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
JMLR
2008
150views more  JMLR 2008»
14 years 11 months ago
Discriminative Learning of Max-Sum Classifiers
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
Vojtech Franc, Bogdan Savchynskyy
JMIV
2006
185views more  JMIV 2006»
14 years 11 months ago
Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements
In medical image analysis and high level computer vision, there is an intensive use of geometric features like orientations, lines, and geometric transformations ranging from simp...
Xavier Pennec
100
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JSAC
2006
107views more  JSAC 2006»
14 years 11 months ago
Adaptive Sensor Activity Control in Many-to-One Sensor Networks
Abstract--In this paper, we consider a many-to-one sensor network where a large number of sensors are deployed to monitor a physical environment. We explore sensor activity managem...
Zhifeng Hu, Junshan Zhang, Lang Tong