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ICPR
2000
IEEE
14 years 7 months ago
Precise Hand-printed Character Recognition Using Elastic Models via Nonlinear Transformation
Distorted character recognition is a difficult but inevitable problem in hand-printed character recognition. In this paper, we propose a character recognition method using elastic...
Tsuyoshi Kato, Shinichiro Omachi, Hirotomo Aso
IBPRIA
2007
Springer
14 years 6 days ago
Estimation of Multiple Objects at Unknown Locations with Active Contours
Abstract. This paper presents an algorithm for the estimation of multiple regions with unknown shapes and positions using multiple active contour models (ACM’s). The algorithm or...
Margarida Silveira, Jorge S. Marques
INTERSPEECH
2010
13 years 26 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
ICDAR
2009
IEEE
13 years 3 months ago
Stochastic Model of Stroke Order Variation
A stochastic model of stroke order variation is proposed and applied to the stroke-order free on-line Kanji character recognition. The proposed model is a hidden Markov model (HMM...
Yoshinori Katayama, Seiichi Uchida, Hiroaki Sakoe
ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Emotion recognition from speech VIA boosted Gaussian mixture models
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...