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» Measuring the Quality of Approximated Clusterings
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VLDB
2004
ACM
152views Database» more  VLDB 2004»
16 years 2 months ago
Balancing energy efficiency and quality of aggregate data in sensor networks
In-network aggregation has been proposed as one method for reducing energy consumption in sensor networks. In this paper, we explore two ideas related to further reducing energy co...
Mohamed A. Sharaf, Jonathan Beaver, Alexandros Lab...
JMLR
2010
198views more  JMLR 2010»
15 years 10 days ago
On Learning with Integral Operators
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
102
Voted
ESANN
2007
15 years 3 months ago
Agglomerative Independent Variable Group Analysis
Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
Antti Honkela, Jeremias Seppä, Esa Alhoniemi
125
Voted
FSTTCS
2006
Springer
15 years 5 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys
108
Voted
KDD
2002
ACM
191views Data Mining» more  KDD 2002»
16 years 2 months ago
Multimedia Knowledge Integration, Summarization And Evaluation
This paper presents new methods for automatically integrating, summarizing and evaluating multimedia knowledge. These are essential for multimedia applications to efficiently and ...
Ana B. Benitez, Shih-Fu Chang