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» Alignment and Distribution is NOT (Always) NP-Hard
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TIT
2011
106views more  TIT 2011»
13 years 3 months ago
Interference Alignment-Based Sum Capacity Bounds for Random Dense Gaussian Interference Networks
We consider a dense K user Gaussian interference network formed by paired transmitters and receivers placed independently at random in a fixed spatial region. Under natural condi...
Oliver Johnson, Matthew Aldridge, Robert J. Piecho...
IPPS
2002
IEEE
14 years 1 months ago
Aligning Two Fragmented Sequences
Upon completion of the human and mouse genome sequences, world-wide sequencing capacity will turn to other complex organisms. Current strategies call for many of these genomes to ...
Vamsi Veeramachaneni, Piotr Berman, Webb Miller
EDOC
2006
IEEE
14 years 8 days ago
Integrated Configuration of Enterprise Systems for Interoperability -- Towards Process Model and Business Document Specification
Enterprise Systems (ES) can be understood as the de facto standard for holistic operational and managerial support within an organization. Most commonly ES are offered as commerci...
Christian Janiesch, Alexander Dreiling, Ulrike Gre...
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 8 months ago
PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
HPDC
2010
IEEE
13 years 9 months ago
MPIPairwiseStatSig: parallel pairwise statistical significance estimation of local sequence alignment
Sequence comparison is considered as a cornerstone application in bioinformatics, which forms the basis of many other applications. In particular, pairwise sequence alignment is a...
Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N...