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» Data Aggregation Sets in Adaptive Data Model
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AIA
2007
15 years 8 months ago
A framework for generating data to simulate changing environments
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
Anand M. Narasimhamurthy, Ludmila I. Kuncheva
ICASSP
2009
IEEE
15 years 4 months ago
A new method for speaker adaptation using bilinear model
In this paper, a novel method for speaker adaptation using bilinear model is proposed. Bilinear model can express both characteristics of speakers (style) and phonemes across spea...
Hwa Jeon Song, Yongwon Jeong, Hyung Soon Kim
SPEECH
2008
71views more  SPEECH 2008»
15 years 6 months ago
Unsupervised intra-speaker variability compensation based on Gestalt and model adaptation in speaker verification with telephone
In this paper an unsupervised compensation method based on Gestalt, ISVC, is proposed to address the problem of limited enrolling data and noise robustness in text-dependent speak...
Néstor Becerra Yoma, Claudio Garretó...
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
16 years 8 months ago
Efficiently Answering Probabilistic Threshold Top-k Queries on Uncertain Data
on Uncertain Data (Extended Abstract) Ming Hua Jian Pei Wenjie Zhang Xuemin Lin Simon Fraser University, Canada The University of New South Wales & NICTA {mhua, jpei}@cs.sfu.c...
Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin
IRREGULAR
1997
Springer
15 years 11 months ago
Programming with Shared Data Abstractions
ing with shared data abstractions Simon Dobson1 and Don Goodeve2 1 Well-Founded Systems Unit, CLRC Rutherford Appleton Laboratory, UK 2 School of Computer Studies, University of Le...
Simon A. Dobson, Don Goodeve