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» Laplacian Spectrum Learning
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114
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NIPS
2003
15 years 3 months ago
Ambiguous Model Learning Made Unambiguous with 1/f Priors
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
Gurinder S. Atwal, William Bialek
PAMI
2007
137views more  PAMI 2007»
15 years 1 months ago
Biometrics from Brain Electrical Activity: A Machine Learning Approach
—The potential of brain electrical activity generated as a response to a visual stimulus is examined in the context of the identification of individuals. Specifically, a framewor...
Ramaswamy Palaniappan, Danilo P. Mandic
109
Voted
ICWL
2004
Springer
15 years 7 months ago
CUBES: Providing Flexible Learning Environment for Virtual Universities
Abstract. To enable an online virtual university, a learning environment covering the entire spectrum of the learning and management process is required. However, constructing such...
Peifeng Xiang, Yuanchun Shi, Weijun Qin, Xin Xiang
CVPR
2008
IEEE
16 years 3 months ago
Segmentation by transduction
This paper addresses the problem of segmenting an image into regions consistent with user-supplied seeds (e.g., a sparse set of broad brush strokes). We view this task as a statis...
Florent Ségonne, Jean Ponce, Jean-Yves Audi...
SCALESPACE
2007
Springer
15 years 8 months ago
Towards Segmentation Based on a Shape Prior Manifold
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...
Patrick Etyngier, Renaud Keriven, Jean-Philippe Po...