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ICML
2004
IEEE
16 years 21 days ago
Learning a kernel matrix for nonlinear dimensionality reduction
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
ECCV
2010
Springer
16 years 18 days ago
Towards Optimal Naive Bayes Nearest Neighbor
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
3DIM
2003
IEEE
16 years 17 days ago
Deformable Model with Adaptive Mesh and Automated Topology Changes
Due to their general and robust formulation deformable models offer a very appealing approach to 3D image segmentation. However there is a trade-off between model genericity, mode...
Jacques-Olivier Lachaud, Benjamin Taton
AMFG
2003
IEEE
244views Biometrics» more  AMFG 2003»
16 years 17 days ago
Manifold of Facial Expression
In this paper, we propose the concept of Manifold of Facial Expression based on the observation that images of a subject’s facial expressions define a smooth manifold in the hig...
Ya Chang, Changbo Hu, Matthew Turk
EVOW
2003
Springer
16 years 14 days ago
Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection
This paper describes a domain independent approach to the use of genetic programming for object detection problems. Rather than using raw pixels or high level domain specific feat...
Mengjie Zhang, Peter Andreae, Mark Pritchard