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» Application of Level Set Methods in Computer Vision
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ICCV
2007
IEEE
15 years 8 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
ICRA
2010
IEEE
267views Robotics» more  ICRA 2010»
15 years 5 months ago
FLIRT - Interest regions for 2D range data
— Local image features are used for a wide range of applications in computer vision and range imaging. While there is a great variety of detector-descriptor combinations for imag...
Gian Diego Tipaldi, Kai Oliver Arras
BMCBI
2008
133views more  BMCBI 2008»
15 years 6 months ago
A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data
Background: Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible f...
Luca Corradi, Marco Fato, Ivan Porro, Silvia Scagl...
BMVC
2010
15 years 4 months ago
The Fastest Pedestrian Detector in the West
We demonstrate a multiscale pedestrian detector operating in near real time (5 fps on 640x480 images) with state-of-the-art detection performance. The computational bottleneck of ...
Piotr Dollár, Serge Belongie, Pietro Perona
ECCV
2004
Springer
15 years 12 months ago
Null Space Approach of Fisher Discriminant Analysis for Face Recognition
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan