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» Measuring the Quality of Approximated Clusterings
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IMR
2004
Springer
15 years 7 months ago
Two Techniques to Improve Mesh Quality and Preserve Surface Characteristics
In this paper we present two novel techniques to improve the quality of triangle surface meshes while preserving surface characteristics as much as possible. In contrast to previo...
Irina B. Semenova, Vladimir V. Savchenko, Ichiro H...
TSP
2008
122views more  TSP 2008»
15 years 1 months ago
Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups
The problem of transmit beamforming to multiple cochannel multicast groups is considered, when the channel state is known at the transmitter and from two viewpoints: minimizing tot...
Eleftherios Karipidis, Nikos D. Sidiropoulos, Zhi-...
RECOMB
2009
Springer
16 years 2 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...
BMCBI
2007
86views more  BMCBI 2007»
15 years 1 months ago
Tandem mass spectrometry data quality assessment by self-convolution
Background: Many algorithms have been developed for deciphering the tandem mass spectrometry (MS) data sets. They can be essentially clustered into two classes. The first performs...
Keng Wah Choo, Wai Mun Tham
140
Voted
CORR
2011
Springer
214views Education» more  CORR 2011»
14 years 5 months ago
K-Median Clustering, Model-Based Compressive Sensing, and Sparse Recovery for Earth Mover Distance
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A such that for any x, given A...
Piotr Indyk, Eric Price