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» A Quality Measure for Distributed Clustering
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ECML
2006
Springer
13 years 11 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
IDEAS
2006
IEEE
218views Database» more  IDEAS 2006»
14 years 1 months ago
PBIRCH: A Scalable Parallel Clustering algorithm for Incremental Data
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...
Ashwani Garg, Ashish Mangla, Neelima Gupta, Vasudh...
CLUSTER
2006
IEEE
14 years 1 months ago
A Simple Synchronous Distributed-Memory Algorithm for the HPCC RandomAccess Benchmark
The RandomAccess benchmark as defined by the High Performance Computing Challenge (HPCC) tests the speed at which a machine can update the elements of a table spread across globa...
Steven J. Plimpton, Ron Brightwell, Courtenay Vaug...
ICIP
2002
IEEE
14 years 9 months ago
Efficient video similarity measurement with video signature
The proliferation of video content on the web makes similarity detection an indispensable tool in web data management, searching, and navigation. In this paper, we propose a numbe...
Sen-Ching S. Cheung, Avideh Zakhor
SLIP
2003
ACM
14 years 29 days ago
Perimeter-degree: a priori metric for directly measuring and homogenizing interconnection complexity in multilevel placement
In this paper, we describe an accurate metric (perimeter-degree) for measuring interconnection complexity and effective use of it for controlling congestion in a multilevel framew...
Navaratnasothie Selvakkumaran, Phiroze N. Parakh, ...