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PAMI
2008
391views more  PAMI 2008»
13 years 5 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
FGR
2008
IEEE
246views Biometrics» more  FGR 2008»
13 years 6 months ago
Discriminant analysis for perceptionally comparable classes
Traditional discriminate analysis treats all the involved classes equally in the computation of the between-class scatter matrix. However, we find that for many vision tasks, the...
Bingpeng Ma, Shiguang Shan, Xilin Chen, Wen Gao
MM
2004
ACM
167views Multimedia» more  MM 2004»
13 years 11 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
AVBPA
2005
Springer
294views Biometrics» more  AVBPA 2005»
13 years 11 months ago
Face Detection Based on the Manifold
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. It is a piece of cake to collect more than hundre...
Ruiping Wang, Jie Chen, Shengye Yan, Wen Gao
CVPR
2004
IEEE
14 years 7 months ago
BoostMap: A Method for Efficient Approximate Similarity Rankings
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...