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» Coresets for Discrete Integration and Clustering
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PG
2003
IEEE
15 years 4 months ago
Adaptive Grouping and Subdivision for Simulating Hair Dynamics
We present a novel approach for adaptively grouping and subdividing hair using discrete level-of-detail (LOD) representations. The set of discrete LODs include hair strands, clust...
Kelly Ward, Ming C. Lin
BMCBI
2004
208views more  BMCBI 2004»
14 years 10 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
87
Voted
HPDC
1997
IEEE
15 years 3 months ago
Supporting Parallel Applications on Clusters of Workstations: The Intelligent Network Interface Approach
This paper presents a novel networking architecture designed for communication intensive parallel applications running on clusters of workstations (COWs) connected by highspeed ne...
Marcel-Catalin Rosu, Karsten Schwan, Richard Fujim...
101
Voted
ENGL
2007
101views more  ENGL 2007»
14 years 10 months ago
Multiresolution Knowledge Mining using Wavelet Transform
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
R. Pradeep Kumar, P. Nagabhushan
ICCV
2009
IEEE
16 years 3 months ago
Mode-Detection via Median-Shift
Median-shift is a mode seeking algorithm that relies on computing the median of local neighborhoods, instead of the mean. We further combine median-shift with Locality Sensitive...
Lior Shapira, Shai Avidan, Ariel Shamir