Sciweavers

1585 search results - page 35 / 317
» Using a Non-prior Training Active Feature Model
Sort
View
INTERSPEECH
2010
14 years 8 months ago
Learning from human errors: prediction of phoneme confusions based on modified ASR training
In an attempt to improve models of human perception, the recognition of phonemes in nonsense utterances was predicted with automatic speech recognition (ASR) in order to analyze i...
Bernd T. Meyer, Birger Kollmeier
NLPRS
2001
Springer
15 years 6 months ago
A Probabilistic Model for Japanese Zero Pronoun Resolution Integrating Syntactic and Semantic Features
This paper proposes a method to resolve Japanese zero pronouns by identifying their antecedents. Our method uses a probabilistic model, which is decomposed into syntactic and sema...
Kazuhiro Seki, Atsushi Fujii, Tetsuya Ishikawa
116
Voted
ICCV
2009
IEEE
14 years 11 months ago
Robust facial feature tracking using selected multi-resolution linear predictors
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
Eng-Jon Ong, Yuxuan Lan, Barry Theobald, Richard H...
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 3 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
ICASSP
2010
IEEE
15 years 2 months ago
Classifying laughter and speech using audio-visual feature prediction
In this study, a system that discriminates laughter from speech by modelling the relationship between audio and visual features is presented. The underlying assumption is that thi...
Stavros Petridis, Ali Asghar, Maja Pantic