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ICC
2007
IEEE
16 years 26 days ago
Non-Data Aided Symbol Timing Estimation in MIMO Systems
—We present two Maximum Likelihood (ML) based estimators for Non-Data-Aided (NDA) symbol timing recovery in MIMO systems. These estimators are based on the classical Unconditiona...
Ketan Rajawat, Ajit K. Chaturvedi
MICAI
2004
Springer
15 years 12 months ago
Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand
In this paper we present a technique for prediction of electrical demand based on multiple models. The multiple models are composed by several local models, each one describing a r...
J. Jesus Rico Melgoza, Juan J. Flores, Constantino...
ACL
1998
15 years 8 months ago
Large Scale Collocation Data and Their Application to Japanese Word Processor Technology
Word processors or computers used in Japan employ Japanese input method through keyboard stroke combined with Kana (phonetic) character to Kanji (ideographic, Chinese) character c...
Yasuo Koyama, Masako Yasutake, Kenji Yoshimura, Ko...
BMCBI
2010
133views more  BMCBI 2010»
15 years 6 months ago
Data analysis issues for allele-specific expression using Illumina's GoldenGate assay
Background: High-throughput measurement of allele-specific expression (ASE) is a relatively new and exciting application area for array-based technologies. In this paper, we explo...
Matthew E. Ritchie, Matthew S. Forrest, Antigone S...
JMLR
2008
133views more  JMLR 2008»
15 years 6 months ago
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
Suhrid Balakrishnan, David Madigan