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FGR
2011
IEEE
247views Biometrics» more  FGR 2011»
13 years 8 days ago
Segment and recognize expression phase by fusion of motion area and neutral divergence features
—An expression can be approximated by a sequence of temporal segments called neutral, onset, offset and apex. However, it is not easy to accurately detect such temporal segments ...
Shizhi Chen, YingLi Tian, Qingshan Liu, Dimitris N...
ICASSP
2011
IEEE
13 years 16 days ago
Facial expression recognition using ensemble of classifiers
This paper presents a novel method for facial expression classification that employs the combination of two different feature sets in an ensemble approach. A pool of base classi...
Thiago H. H. Zavaschi, Alessandro L. Koerich, Luiz...
ICASSP
2010
IEEE
13 years 9 months ago
Comparing the contributions of context and prosody in text-independent dialog act recognition
Automatic segmentation and classification of dialog acts (DAs; e.g., statements versus questions) is important for spoken language understanding (SLU). While most systems have re...
Kornel Laskowski, Elizabeth Shriberg
ICPR
2010
IEEE
13 years 6 months ago
3D Face Decomposition and Region Selection Against Expression Variations
3D face recognition exploits shape information as well as texture information in 2D systems. The use of whole 3D face is sensitive to some undesired situations like expression var...
Göksel Günlü, Hasan S. Bilge
BMCBI
2007
125views more  BMCBI 2007»
13 years 9 months ago
Bayesian meta-analysis models for microarray data: a comparative study
Background: With the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis...
Erin M. Conlon, Joon J. Song, Anna Liu