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» Measuring the Quality of Approximated Clusterings
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BMCBI
2004
208views more  BMCBI 2004»
15 years 1 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
FPGA
2000
ACM
161views FPGA» more  FPGA 2000»
15 years 5 months ago
The effect of LUT and cluster size on deep-submicron FPGA performance and density
In this paper we revisit the FPGA architectural issue of the effect of logic block functionality on FPGA performance and density. In particular, in the context of lookup table, cl...
Elias Ahmed, Jonathan Rose
ICML
2004
IEEE
16 years 2 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
RIAO
2007
15 years 3 months ago
Multi-Modal Music Information Retrieval - Visualisation and Evaluation of Clusterings by Both Audio and Lyrics
Navigation in and access to the contents of digital audio archives have become increasingly important topics in Information Retrieval. Both private and commercial music collection...
Robert Neumayer, Andreas Rauber
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
13 years 4 months ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha