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» Maximizing data locality in distributed systems
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ICASSP
2009
IEEE
14 years 2 months ago
A framework for distributed multimedia stream mining systems using coalition-based foresighted strategies
In this paper, we propose a distributed solution to the problem of configuring classifier trees in distributed stream mining systems. The configuration involves selecting appro...
Hyunggon Park, Deepak S. Turaga, Olivier Verscheur...
EDBT
2009
ACM
184views Database» more  EDBT 2009»
14 years 2 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer
IAT
2006
IEEE
14 years 1 months ago
On the Design of a Web-Based Decision Support System for Brain Tumour Diagnosis Using Distributed Agents
This paper introduces HealthAgents, an EC-funded research project to improve the classification of brain tumours through multi-agent decision support over a distributed network o...
Carles Arús, Bernardo Celda, Srinandan Dasm...
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
14 years 3 days ago
Optimal sensor placement for time difference of arrival localization
— This paper addresses the problem of localizing a source from noisy time-of-arrival measurements. In particular, we are interested in the optimal placement of M planar sensors s...
Jason T. Isaacs, Daniel J. Klein, João Pedr...
ICML
2006
IEEE
14 years 8 months ago
Locally adaptive classification piloted by uncertainty
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwo...