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» Spoken emotion recognition using hierarchical classifiers
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IJISTA
2007
124views more  IJISTA 2007»
14 years 9 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...
FGR
2006
IEEE
147views Biometrics» more  FGR 2006»
15 years 1 months ago
Cascaded Classification of Gender and Facial Expression using Active Appearance Models
This paper presents an approach to recognising the gender and expression of face images by means of Active Appearance Models (AAM). Features extracted by a trained AAM are used to...
Yunus Saatci, Christopher Town
JUCS
2011
77views more  JUCS 2011»
14 years 4 months ago
Choice of Classifiers in Hierarchical Recognition of Online Handwritten Kannada and Tamil Aksharas
: In this paper, we propose a novel dexterous technique for fast and accurate recognition of online handwritten Kannada and Tamil characters. Based on the primary classifier output...
Venkatesh Narasimha Murthy, Angarai Ganesan Ramakr...
91
Voted
CSL
2010
Springer
14 years 9 months ago
Evaluation of a hierarchical reinforcement learning spoken dialogue system
We describe an evaluation of spoken dialogue strategies designed using hierarchical reinforcement learning agents. The dialogue strategies were learnt in a simulated environment a...
Heriberto Cuayáhuitl, Steve Renals, Oliver ...
96
Voted
FGR
2006
IEEE
162views Biometrics» more  FGR 2006»
15 years 1 months ago
Hierarchical Ensemble of Gabor Fisher Classifier for Face Recognition
Gabor feature has been widely recognized as one of the best representations for face recognition. However, traditionally, it has to be reduced in dimension due to curse of dimensi...
Yu Su, Shiguang Shan, Xilin Chen, Wen Gao