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ICIP
2005
IEEE
14 years 7 months ago
Local manifold matching for face recognition
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
Wei Liu, Wei Fan, Yunhong Wang, Tieniu Tan
ACCV
2009
Springer
14 years 18 days ago
Interactive Super-Resolution through Neighbor Embedding
Learning based super-resolution can recover high resolution image with high quality. However, building an interactive learning based super-resolution system for general images is e...
Jian Pu, Junping Zhang, Peihong Guo, Xiaoru Yuan
ICCV
2007
IEEE
14 years 9 days ago
Shape Priors using Manifold Learning Techniques
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
Patrick Etyngier, Florent Ségonne, Renaud K...
ACCV
2009
Springer
13 years 9 months ago
Head Pose Estimation Based on Manifold Embedding and Distance Metric Learning
In this paper, we propose an embedding method to seek an optimal low-dimensional manifold describing the intrinsical pose variations and to provide an identity-independent head pos...
Xiangyang Liu, Hongtao Lu, Daqiang Zhang
MICCAI
2010
Springer
13 years 4 months ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios