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» Learning Classifiers from Semantically Heterogeneous Data
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AVSS
2006
IEEE
14 years 2 months ago
Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme
In this paper, we propose a novel approach for facial expression analysis and recognition. The proposed approach relies on tracked facial actions provided by an appearance-based 3...
Fadi Dornaika, Bogdan Raducanu
ICASSP
2010
IEEE
13 years 9 months ago
A union of incoherent spaces model for classification
We present a new and computationally efficient scheme for classifying signals into a fixed number of known classes. We model classes as subspaces in which the corresponding data...
Karin Schnass, Pierre Vandergheynst
PRIB
2010
Springer
192views Bioinformatics» more  PRIB 2010»
13 years 7 months ago
Structured Output Prediction of Anti-cancer Drug Activity
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity...
Hongyu Su, Markus Heinonen, Juho Rousu
ICPR
2010
IEEE
13 years 6 months ago
Regression-Based Multi-view Facial Expression Recognition
We present a regression-based scheme for multi-view facial expression recognition based on 2-D geometric features. We address the problem by mapping facial points (e.g. mouth corn...
Ognjen Rudovic, Ioannis Patras, Maja Pantic
CVPR
2007
IEEE
14 years 10 months ago
Using Segmentation to Verify Object Hypotheses
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Deva Ramanan