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CVPR
2009
IEEE
16 years 7 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
CIVR
2006
Springer
121views Image Analysis» more  CIVR 2006»
15 years 3 months ago
Finding Faces in Gray Scale Images Using Locally Linear Embeddings
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial exp...
Samuel Kadoury, Martin D. Levine
CVPR
2010
IEEE
15 years 8 months ago
Locality-constrained Linear Coding for Image Classification
The traditional SPM approach based on bag-of-features (BoF) must use nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effec...
Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv
ICRA
2000
IEEE
192views Robotics» more  ICRA 2000»
15 years 4 months ago
Robust Localization for 3D Object Recognition Using Local EGI and 3D Template Matching with M-Estimators
A tele-operated system in a robot greatly reduces the demands on the human operator, although some human intervention is still required to perform such tasks as insulator recognit...
Kentaro Kawamura, Kiminori Hasegawa, Yasuyuki Some...
PAMI
2012
13 years 2 months ago
Face Recognition Using Sparse Approximated Nearest Points between Image Sets
—We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...
Yiqun Hu, Ajmal S. Mian, Robyn A. Owens