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ML
2010
ACM
185views Machine Learning» more  ML 2010»
15 years 1 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
PAMI
2008
121views more  PAMI 2008»
15 years 6 months ago
Theoretical Foundations of Spatially-Variant Mathematical Morphology Part II: Gray-Level Images
In this paper, we develop a spatially-variant (SV) mathematical morphology theory for gray-level signals and images in the euclidean space. The proposed theory preserves the geomet...
Nidhal Bouaynaya, Dan Schonfeld
BMCBI
2010
144views more  BMCBI 2010»
15 years 6 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
IPMI
2009
Springer
16 years 7 months ago
Cortical Correspondence with Probabilistic Fiber Connectivity
Abstract. This paper presents a novel method of optimizing pointbased correspondence among populations of human cortical surfaces by combining structural cues with probabilistic co...
Ipek Oguz, Marc Niethammer, Joshua E. Cates, Ross ...
PERCOM
2007
ACM
16 years 6 months ago
Analytical modeling and mitigation techniques for the energy hole problem in sensor networks
In this paper we investigate the problem of uneven energy consumptions in a large class of many-to-one sensor networks. In a many-to-one sensor network, all sensor nodes generate ...
Jian Li, Prasant Mohapatra