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NIPS
2007
15 years 4 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
AAAI
1990
15 years 4 months ago
Generalized Shape Autocorrelation
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
Andrea Califano, Rakesh Mohan
150
Voted
BMCBI
2010
166views more  BMCBI 2010»
15 years 3 months ago
Accurate peak list extraction from proteomic mass spectra for identification and profiling studies
Background: Mass spectrometry is an essential technique in proteomics both to identify the proteins of a biological sample and to compare proteomic profiles of different samples. ...
Nicola Barbarini, Paolo Magni
124
Voted
CONCURRENCY
2008
102views more  CONCURRENCY 2008»
15 years 3 months ago
Dynamic data replication in LCG 2008
To provide performant access to data from high energy physics experiments such as the Large Hadron Collider (LHC), controlled replication of files among grid sites is required. Dy...
Caitriana Nicholson, David G. Cameron, A. T. Doyle...
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 10 months ago
Detecting Separation in Robotic and Sensor Networks
In this paper we consider the problem of monitoring detecting separation of agents from a base station in robotic and sensor networks. Such separation can be caused by mobility an...
Chenda Liao, Harshavardhan Chenji, Prabir Barooah,...
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