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» Adaptive Manifold Learning
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ICML
2005
IEEE
14 years 9 months ago
Implicit surface modelling as an eigenvalue problem
We discuss the problem of fitting an implicit shape model to a set of points sampled from a co-dimension one manifold of arbitrary topology. The method solves a non-convex optimis...
Christian Walder, Olivier Chapelle, Bernhard Sch&o...
CORR
2008
Springer
126views Education» more  CORR 2008»
13 years 8 months ago
Non-Negative Matrix Factorization, Convexity and Isometry
Traditional Non-Negative Matrix Factorization (NMF) [19] is a successful algorithm for decomposing datasets into basis function that have reasonable interpretation. One problem of...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
CVPR
2008
IEEE
14 years 10 months ago
Human action recognition using Local Spatio-Temporal Discriminant Embedding
Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions ...
Kui Jia, Dit-Yan Yeung
APSCC
2008
IEEE
14 years 3 months ago
Adaptive Learning Sequencing for Course Customization: A Web Service Approach
— We discuss a learning model that enables the creation of optimal learning strategies that suit learners’ needs. A customized learning content is delivered to learners as mana...
Ivan Madjarov, Abdelkader Bétari
CVPR
2004
IEEE
14 years 10 months ago
Super-Resolution through Neighbor Embedding
In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as input, we recover its highresolution counterpart using...
Hong Chang, Dit-Yan Yeung, Yimin Xiong