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» A Practical Method for the Sparse Resultant
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JMLR
2010
158views more  JMLR 2010»
15 years 2 months ago
Restricted Eigenvalue Properties for Correlated Gaussian Designs
Methods based on 1-relaxation, such as basis pursuit and the Lasso, are very popular for sparse regression in high dimensions. The conditions for success of these methods are now ...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
BMCBI
2011
15 years 2 months ago
PICS-Ord: Unlimited Coding of Ambiguous Regions by Pairwise Identity and Cost Scores Ordination
Background: We present a novel method to encode ambiguously aligned regions in fixed multiple sequence alignments by ‘Pairwise Identity and Cost Scores Ordination’ (PICS-Ord)....
Robert K. Luecking, Brendan P. Hodkinson, Alexandr...
GLOBECOM
2007
IEEE
15 years 9 months ago
Optimal Downlink OFDMA Subcarrier, Rate, and Power Allocation with Linear Complexity to Maximize Ergodic Weighted-Sum Rates
Abstract— In this paper, we propose a resource allocation algorithm for ergodic weighted-sum rate maximization in downlink OFDMA systems. In contrast to most previous research tha...
Ian C. Wong, Brian L. Evans
BMCBI
2006
128views more  BMCBI 2006»
15 years 7 months ago
New directions in biomedical text annotation: definitions, guidelines and corpus construction
Background: While biomedical text mining is emerging as an important research area, practical results have proven difficult to achieve. We believe that an important first step tow...
W. John Wilbur, Andrey Rzhetsky, Hagit Shatkay
ICIAP
2003
ACM
16 years 14 days ago
PCA vs low resolution images in face verification
Principal Components Analysis (PCA) has been one of the most applied methods for face verification using only 2D information, in fact, PCA is practically the method of choice for ...
Cristina Conde, Antonio Ruiz, Enrique Cabello