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IJCAI
1997
13 years 10 months ago
Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
Tu Bao Ho, Chi Main Luong
NIPS
2007
13 years 10 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
BMVC
2010
13 years 6 months ago
Manifold Learning for Multi-Modal Image Registration
The standard approach to multi-modal registration is to apply sophisticated similarity metrics such as mutual information. The disadvantage of these measures, in contrast to simpl...
Christian Wachinger, Nassir Navab
ACCV
2007
Springer
14 years 2 months ago
Learning Gabor Magnitude Features for Palmprint Recognition
Palmprint recognition, as a new branch of biometric technology, has attracted much attention in recent years. Various palmprint representations have been proposed for recognition. ...
Rufeng Chu, Zhen Lei, Yufei Han, Ran He, Stan Z. L...
EPIA
2009
Springer
14 years 3 months ago
Learning Visual Object Categories with Global Descriptors and Local Features
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
Rui Pereira, Luís Seabra Lopes