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INTERSPEECH
2010
15 years 1 months ago
Canonical state models for automatic speech recognition
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
Mark J. F. Gales, Kai Yu
JEI
2010
123views more  JEI 2010»
15 years 1 months ago
Estimating reflectance from multispectral camera responses based on partial least-squares regression
Abstract. In multispectral imaging systems, the accuracy of reflectance estimation can be degraded by the nonlinearity in imaging process, which is due to non-Gaussian distribution...
Hui-Liang Shen, Hui-Jiang Wan, Zhe-Chao Zhang
TASLP
2010
97views more  TASLP 2010»
15 years 1 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals

Publication
279views
15 years 1 months ago
Colour Invariant Head Pose Classification in Low Resolution Video
This paper presents an algorithm for the classification of head pose in low resolution video. Invariance to skin, hair and background colours is achieved by classifying using an en...
Ben Benfold and Ian Reid
CORR
2011
Springer
214views Education» more  CORR 2011»
14 years 10 months ago
K-Median Clustering, Model-Based Compressive Sensing, and Sparse Recovery for Earth Mover Distance
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A such that for any x, given A...
Piotr Indyk, Eric Price