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PIMRC
2010
IEEE
13 years 7 months ago
Multi-dimensional K-factor analysis for V2V radio channels in open sub-urban street crossings
In this paper we analyze the Ricean K-factor for vehicle-to-vehicle (V2V) communications in a typical open suburban street crossing. The channel conditions vary from non line-of si...
Laura Bernadó, Thomas Zemen, Johan Karedal,...
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 10 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ICASSP
2007
IEEE
14 years 4 months ago
Discriminating Two Types of Noise Sources using Cortical Representation and Dimension Reduction Technique
Content-based audio classification techniques have focused on classifying events that are both semantically and perceptually distinct (such as speech, music, environmental sounds...
Shiva Sundaram, Shrikanth Narayanan
WEBI
2005
Springer
14 years 3 months ago
A Semi-Supervised Document Clustering Algorithm Based on EM
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
Leonardo Rigutini, Marco Maggini
ANOR
2007
73views more  ANOR 2007»
13 years 10 months ago
A sample-path approach to optimal position liquidation
We consider the problem of optimal position liquidation with the aim of maximizing the expected cash flow stream from the transaction in the presence of temporary or permanent ma...
Pavlo A. Krokhmal, Stan Uryasev