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» Learning Classifiers from Semantically Heterogeneous Data
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AVSS
2006
IEEE
15 years 9 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
15 years 3 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»
15 years 1 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
15 years 26 days 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
16 years 4 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