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KAIS
2006
121views more  KAIS 2006»
13 years 7 months ago
TEG-a hybrid approach to information extraction
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko
CVPR
2010
IEEE
14 years 3 months ago
Spike Train Driven Dynamical Models for Human Actions
We investigate dynamical models of human motion that can support both synthesis and analysis tasks. Unlike coarser discriminative models that work well when action classes are ...
Michalis Raptis, Kamil Wnuk , Stefano Soatto
VLSID
2004
IEEE
147views VLSI» more  VLSID 2004»
14 years 7 months ago
Computing Silent Gate Models for Noise Analysis from Slew and Delay Tables
Abstract--In this paper, we present a new approach to calculate the steady state resistance values for CMOS library gates. These resistances are defined as simple equivalent models...
Shabbir H. Batterywala, Narendra V. Shenoy
ICASSP
2011
IEEE
12 years 11 months ago
Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition
Named Entity (NE) recognition from the results of Automatic Speech Recognition (ASR) is challenging because of ASR errors. To detect NEs, one of the options is to use a statistica...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura, ...
BMCBI
2011
12 years 11 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray