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» Using Generation for Grammar Analysis and Error Detection
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SIGIR
2008
ACM
15 years 6 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
ICPR
2004
IEEE
16 years 7 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
DELTA
2010
IEEE
15 years 11 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 7 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 ...
APLAS
2003
ACM
15 years 10 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