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CVPR
2011
IEEE
14 years 6 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
IPMI
2003
Springer
15 years 10 months ago
Evaluation of 3D Correspondence Methods for Model Building
Abstract. The correspondence problem is of high relevance in the construction and use of statistical models. Statistical models are used for a variety of medical application, e.g. ...
Martin Styner, Kumar T. Rajamani, Lutz-Peter Nolte...
IV
2008
IEEE
182views Visualization» more  IV 2008»
15 years 4 months ago
3D Generalization Lenses for Interactive Focus + Context Visualization of Virtual City Models
Focus + context visualization facilitates the exploration of complex information spaces. This paper proposes 3D generalization lenses, a new visualization technique for virtual 3D...
Matthias Trapp, Tassilo Glander, Henrik Buchholz, ...
CIKM
2008
Springer
14 years 11 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
CVPR
2000
IEEE
15 years 11 months ago
Fixed Topology Skeletons
In this paper, we present a novel approach to robust skeleton extraction. We use undirected graphs to model connectivity of the skeleton points. The graph topology remains unchang...
Polina Golland, W. Eric L. Grimson