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NIPS
2007
14 years 11 months ago
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
Matthias Bethge, Philipp Berens
NAACL
2003
14 years 11 months ago
Automatic Derivation of Surface Text Patterns for a Maximum Entropy Based Question Answering System
In this paper we investigate the use of surface text patterns for a Maximum Entropy based Question Answering (QA) system. These text patterns are collected automatically in an uns...
Deepak Ravichandran, Abraham Ittycheriah, Salim Ro...
73
Voted
CORR
2008
Springer
119views Education» more  CORR 2008»
14 years 10 months ago
A maximum entropy approach to OFDM channel estimation
In this work, a Bayesian framework for OFDM channel estimation is proposed. Using the maximum entropy principle to exploit prior system information at the receiver, we successively...
Romain Couillet, Mérouane Debbah
88
Voted
ACL
2008
14 years 11 months ago
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar
ICASSP
2011
IEEE
14 years 1 months ago
Dispersion measures and entropy for seizure detection
Electroencephalogram (EEG) is an important technique for detecting epileptic seizures. In this paper a method of classification of EEG signal into normal, interictal and ictal cla...
M. Bedeeuzzaman, Omar Farooq, Yusuf U. Khan