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TIT
2002
91views more  TIT 2002»
14 years 9 months ago
Hidden Markov processes
An overview of statistical and information-theoretic aspects of hidden Markov processes (HMPs) is presented. An HMP is a discrete-time finite-state homogeneous Markov chain observe...
Yariv Ephraim, Neri Merhav
JMLR
2010
143views more  JMLR 2010»
14 years 8 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
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TSP
2010
14 years 4 months ago
Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar
Detection and estimation problems in multiple-input multiple-output (MIMO) radar have recently drawn considerable interest in the signal processing community. Radar has long been a...
Dimitri Nion, Nicholas D. Sidiropoulos
KDD
2008
ACM
116views Data Mining» more  KDD 2008»
15 years 10 months ago
Volatile correlation computation: a checkpoint view
Recent years have witnessed increased interest in computing strongly correlated pairs in very large databases. Most previous studies have been focused on static data sets. However...
Wenjun Zhou, Hui Xiong
BMCBI
2010
155views more  BMCBI 2010»
14 years 10 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe