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ICASSP
2011
IEEE
14 years 10 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
ICML
2004
IEEE
16 years 7 months ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
ICESS
2005
Springer
16 years 12 days ago
Swarm Based Sensor Deployment Optimization in Ad Hoc Sensor Networks
Abstract. In ad hoc sensor networks, sensor nodes have very limited energy resources, thus energy consuming operations such as data collection, transmission and reception must be k...
Xiaoling Wu, Shu Lei, Jie Yang, Hui Xu, Jinsung Ch...
ERCIMDL
2008
Springer
75views Education» more  ERCIMDL 2008»
15 years 8 months ago
Matching Hierarchies Using Shared Objects
One of the main challenges in integrating two hierarchies is determining the correspondence between the edges of each hierarchy. Traditionally, this process, which we call hierarch...
Robert Ikeda, Kai Zhao, Hector Garcia-Molina
DBA
2006
182views Database» more  DBA 2006»
15 years 8 months ago
Matrix Apriori: Speeding Up the Search for Frequent Patterns
This work discusses the problem of generating association rules from a set of transactions in a relational database, taking performance and accuracy of found results as the essent...
Judith Pavón, Sidney Viana, Santiago G&oacu...