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NIPS
2003
13 years 10 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»
13 years 8 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
ICWL
2004
Springer
14 years 2 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
14 years 10 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
14 years 2 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...