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» Using Generation for Grammar Analysis and Error Detection
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90
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SIGIR
2008
ACM
15 years 3 months ago
Term clouds as surrogates for user generated speech
User generated spoken audio remains a challenge for Automatic Speech Recognition (ASR) technology and content-based audio surrogates derived from ASR-transcripts must be error rob...
Manos Tsagkias, Martha Larson, Maarten de Rijke
130
Voted
ICPR
2004
IEEE
16 years 4 months ago
Probabilistic Combination of Multiple Modalities to Detect Interest
This paper describes a new approach to combine multiple modalities and applies it to the problem of affect recognition. The problem is posed as a combination of classifiers in a p...
Ashish Kapoor, Rosalind W. Picard, Yuri Ivanov
201
Voted
DELTA
2010
IEEE
15 years 8 months ago
Independent Component Analysis Applied to Watermark Extraction and its Implemented Model on FPGAs
: Most of published audio watermark algorithms are suffered a trade-off between inaudibility and detectibility, and the detection performance depends greatly on the strength of noi...
Thuong Le-Tien, Dien Vo-Ngoc, Lan Ngo-Hoang, Sung ...
ICML
2005
IEEE
16 years 4 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
134
Voted
APLAS
2003
ACM
15 years 7 months ago
Resource Usage Verification
We investigate how to automatically verify that resources such as files are not used improperly or unsafely by a program. We employ a mixture of compile-time analysis and run-time ...
Kim Marriott, Peter J. Stuckey, Martin Sulzmann