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117
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SSPR
2000
Springer
15 years 5 months ago
A New Approximation Method of the Quadratic Discriminant Function
Abstract. For many statistical pattern recognition methods, distributions of sample vectors are assumed to be normal, and the quadratic discriminant function derived from the proba...
Shinichiro Omachi, Fang Sun, Hirotomo Aso
96
Voted
ANOR
2010
82views more  ANOR 2010»
15 years 2 months ago
Time-based detection of changes to multivariate patterns
Detection of changes to multivariate patterns is an important topic in a number of different domains. Modern data sets often include categorical and numerical data and potentially...
Jing Hu, George C. Runger
95
Voted
TNN
1998
112views more  TNN 1998»
15 years 1 months ago
A class of competitive learning models which avoids neuron underutilization problem
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
Clifford Sze-Tsan Choy, Wan-Chi Siu
89
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Exploring nuisance attribute projection and score normalization for GLDS-SVM based automatic mispronunciation detection method
In the task of mispronunciation detection, the cross-speaker degradation and some other confusing nuisances are the challenging problems demanding prompt solution. In this paper, ...
Hongyan Li, Shen Huang, Shijin Wang, Jiaen Liang, ...
136
Voted
ET
2010
122views more  ET 2010»
14 years 11 months ago
Fault Models for Quantum Mechanical Switching Networks
This work justifies several quantum gate level fault models and discusses the causal error mechanisms thwarting correct function. A quantum adaptation of the classical test set gen...
Jacob D. Biamonte, Jeff S. Allen, Marek A. Perkows...