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ISVC
2007
Springer
15 years 8 months ago
Feature-Adaptive Motion Energy Analysis for Facial Expression Recognition
In this paper, we present a facial expression recognition method using feature-adaptive motion energy analysis. Our method is simplicityoriented and avoids complicated face model r...
Sungkyu Noh, Hanhoon Park, Yoonjong Jin, Jong-Il P...
ICPR
2010
IEEE
15 years 8 months ago
Multi-Modal Emotion Recognition Using Canonical Correlations and Acoustic Features
The information of the psycho-physical state of the subject is becoming a valuable addition to the modern audio or video recognition systems. As well as enabling a better user exp...
Rok Gajsek, Vitomir Struc, France Mihelic
COST
2009
Springer
172views Multimedia» more  COST 2009»
15 years 8 days ago
Facial Expression Recognition Using Two-Class Discriminant Features
This paper presents a novel facial expression recognition methodology. In order to classify the expression of a test face to one of seven pre-determined facial expression classes, ...
Marios Kyperountas, Ioannis Pitas
CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
15 years 8 months ago
Multivariate gene selection: Does it help
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...
Carmen Lai, Marcel J. T. Reinders
120
Voted
FGR
2008
IEEE
184views Biometrics» more  FGR 2008»
15 years 9 months ago
Multi-attribute robust facial feature localization
In this paper, we focus on the reliable detection of facial fiducial points, such as eye, eyebrow and mouth corners. The proposed algorithm aims to improve automatic landmarking ...
Oya Çeliktutan, Hatice Cinar Akakin, Bü...