1102 search results - page 131 / 221 » Efficient Training of Sensor Networks |
131
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KDD
2003
ACM
16 years 4 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
137
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WACV
2008
IEEE
15 years 10 months ago
2008
IEEE
deliver objects, handle emergency, wherever he/she is inside the home. In addition, the burden of processing We address issues dealing with distributed visual power can be distribu...
136
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ATAL
2010
Springer
15 years 5 months ago
2010
Springer
Recent studies have investigated how a team of mobile sensors can cope with real world constraints, such as uncertainty in the reward functions, dynamically appearing and disappea...
169
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RAID
2009
Springer
15 years 11 months ago
2009
Springer
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
150
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CVPR
2005
IEEE
16 years 6 months ago
2005
IEEE
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...