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INTERSPEECH
2010
13 years 29 days ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
SIGIR
2011
ACM
12 years 9 months ago
A boosting approach to improving pseudo-relevance feedback
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
Yuanhua Lv, ChengXiang Zhai, Wan Chen
ICIP
2004
IEEE
14 years 7 months ago
Performance analysis of an improved tensor based correspondence algorithm for automatic 3d modeling
3D modeling of a free-form object involves the acquisition of multiple views (range images) of the object to cover its entire surface. These views are then registered in a common ...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
ICPR
2010
IEEE
13 years 5 months ago
Robust ECG Biometrics by Fusing Temporal and Cepstral Information
—The use of vital signs as a biometric is a potentially viable approach in a variety of application scenarios such as security and personalized health care. In this paper, a nove...
Ming Li, Shrikanth Narayanan
ICASSP
2011
IEEE
12 years 10 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur