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» Data Clustering: A Review
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KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 7 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
247
Voted
IPSN
2004
Springer
16 years 13 days ago
The impact of spatial correlation on routing with compression in wireless sensor networks
The efficacy of data aggregation in sensor networks is a function of the degree of spatial correlation in the sensed phenomenon. While several data aggregation (i.e., routing with...
Sundeep Pattem, Bhaskar Krishnamachari, Ramesh Gov...
IPSN
2004
Springer
16 years 13 days ago
Distributed optimization in sensor networks
Wireless sensor networks are capable of collecting an enormous amount of data over space and time. Often, the ultimate objective is to derive an estimate of a parameter or functio...
Michael Rabbat, Robert D. Nowak
ECCV
2010
Springer
16 years 9 days ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
IEEEPACT
2002
IEEE
16 years 10 hour ago
Workload Design: Selecting Representative Program-Input Pairs
Having a representative workload of the target domain of a microprocessor is extremely important throughout its design. The composition of a workload involves two issues: (i) whic...
Lieven Eeckhout, Hans Vandierendonck, Koenraad De ...
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