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» Local Dimensionality Reduction
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ECCV
2006
Springer
15 years 11 months ago
Learning Nonlinear Manifolds from Time Series
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...
Ruei-Sung Lin, Che-Bin Liu, Ming-Hsuan Yang, Naren...
ICASSP
2007
IEEE
15 years 4 months ago
Breaking the Limitation of Manifold Analysis for Super-Resolution of Facial Images
A novel method for robust super-resolution offace images is proposed in this paper. Face super-resolution is a particular interest in video surveillance where face images have typ...
Sung Won Park, Marios Savvides
ECCV
2010
Springer
15 years 1 months ago
Binary coherent edge descriptors
Patch descriptors are used for a variety of tasks ranging from finding corresponding points across images, to describing object category parts. In this paper, we propose an image ...
NIPS
1998
14 years 11 months ago
Restructuring Sparse High Dimensional Data for Effective Retrieval
The task in text retrieval is to find the subset of a collection of documents relevant to a user's information request, usually expressed as a set of words. Classically, docu...
Charles Lee Isbell Jr., Paul A. Viola
AMDO
2006
Springer
15 years 1 months ago
Human Motion Synthesis by Motion Manifold Learning and Motion Primitive Segmentation
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
Chan-Su Lee, Ahmed M. Elgammal