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CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 10 months ago
Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
Namrata Vaswani
DATAMINE
2006
89views more  DATAMINE 2006»
13 years 10 months ago
Scalable Clustering Algorithms with Balancing Constraints
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
Arindam Banerjee, Joydeep Ghosh
SIGIR
2008
ACM
13 years 9 months ago
Deep classification in large-scale text hierarchies
Most classification algorithms are best at categorizing the Web documents into a few categories, such as the top two levels in the Open Directory Project. Such a classification me...
Gui-Rong Xue, Dikan Xing, Qiang Yang, Yong Yu
SIGMETRICS
2008
ACM
13 years 9 months ago
Scheduling despite inexact job-size information
Motivated by the optimality of Shortest Remaining Processing Time (SRPT) for mean response time, in recent years many computer systems have used the heuristic of "favoring sm...
Adam Wierman, Misja Nuyens
JIB
2007
153views more  JIB 2007»
13 years 9 months ago
Duplicate detection of 2D-NMR Spectra
2D-Nuclear magnetic resonance (NMR) spectra are used in the (structural) analysis of small molecules. In contrast to 1D-NMR spectra, 2D-NMR spectra correlate the chemical shifts o...
Alexander Hinneburg, Björn Egert, Andrea Porz...