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MM
2004
ACM
167views Multimedia» more  MM 2004»
15 years 12 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
CVPR
2010
IEEE
15 years 11 months ago
A Novel Markov Random Field Based Deformable Model for Face Recognition
In this paper, a new scheme to address the face recognition problem is proposed. Different from traditional face recognition approaches which represent each facial image by a sing...
Shu Liao, Albert C.S. Chung
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 6 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
EMSOFT
2008
Springer
15 years 8 months ago
Automatically transforming and relating Uppaal models of embedded systems
Relations between models are important for effective automatic validation, for comparing implementations with specifications, and for increased understanding of embedded systems d...
Timothy Bourke, Arcot Sowmya
169
Voted
TVCG
2008
134views more  TVCG 2008»
15 years 6 months ago
Balloon Focus: a Seamless Multi-Focus+Context Method for Treemaps
The treemap is one of the most popular methods for visualizing hierarchical data. When a treemap contains a large number of items, inspecting or comparing a few selected items in a...
Ying Tu, Han-Wei Shen