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» Minimization of Error Functionals over Perceptron Networks
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VLDB
2007
ACM
181views Database» more  VLDB 2007»
15 years 10 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
89
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TNN
2010
168views Management» more  TNN 2010»
14 years 4 months ago
On the selection of weight decay parameter for faulty networks
The weight-decay technique is an effective approach to handle overfitting and weight fault. For fault-free networks, without an appropriate value of decay parameter, the trained ne...
Andrew Chi-Sing Leung, Hongjiang Wang, John Sum
ICML
2007
IEEE
15 years 10 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
116
Voted
CSE
2009
IEEE
15 years 1 months ago
Completely Distributed Low Duty Cycle Communication for Long-Living Sensor Networks
A lifetime of several years for wireless sensor nodes can be achieved if their activity period is minimized. This can be done by using low duty cycle protocols. One of the challeng...
Marcin Brzozowski, Hendrik Salomon, Peter Langendo...
62
Voted
TSP
2008
100views more  TSP 2008»
14 years 9 months ago
Optimal Two-Stage Search for Sparse Targets Using Convex Criteria
We consider the problem of estimating and detecting sparse signals over a large area of an image or other medium. We introduce a novel cost function that captures the tradeoff bet...
Eran Bashan, Raviv Raich, Alfred O. Hero III