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FGR
2006
IEEE
121views Biometrics» more  FGR 2006»
15 years 3 months ago
Learning to Identify Facial Expression During Detection Using Markov Decision Process
While there has been a great deal of research in face detection and recognition, there has been very limited work on identifying the expression on a face. Many current face detect...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...
BMCBI
2006
169views more  BMCBI 2006»
14 years 10 months ago
Finding biological process modifications in cancer tissues by mining gene expression correlations
Background: Through the use of DNA microarrays it is now possible to obtain quantitative measurements of the expression of thousands of genes from a biological sample. This techno...
Giacomo Gamberoni, Sergio Storari, Stefano Volinia
ADBIS
2004
Springer
105views Database» more  ADBIS 2004»
15 years 3 months ago
Event Database Processing
: The purpose of the current work is to explore and improve the analysis of event data stored in event repositories, enabling the application of specialized event algebra operators...
Joris Mihaeli, Opher Etzion
ESWA
2007
136views more  ESWA 2007»
14 years 9 months ago
Semantic-based facial expression recognition using analytical hierarchy process
In this paper we present an automatic facial expression recognition system that utilizes a semantic-based learning algorithm using the analytical hierarchy process (AHP). Although...
Shyi-Chyi Cheng, Ming-Yao Chen, Hong-Yi Chang, Tzu...
ECCV
2010
Springer
14 years 7 months ago
Coupled Gaussian Process Regression for Pose-Invariant Facial Expression Recognition
We present a novel framework for the recognition of facial expressions at arbitrary poses that is based on 2D geometric features. We address the problem by first mapping the 2D loc...
Ognjen Rudovic, Ioannis Patras, Maja Pantic