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» A Hierarchical Latent Variable Model for Data Visualization
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CVPR
2011
IEEE
13 years 4 months ago
Supervised Hierarchical Pitman-Yor Process for Natural Scene Segmentation
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
Alex Shyr, Trevor Darrell, Michael Jordan, Raquel ...
NIPS
2003
13 years 10 months ago
Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence
The problem of “Structure From Motion” is a central problem in vision: given the 2D locations of certain points we wish to recover the camera motion and the 3D coordinates of ...
Amit Gruber, Yair Weiss
TOMACS
1998
140views more  TOMACS 1998»
13 years 8 months ago
Technical Note: A Hierarchical Computer Architecture Design and Simulation Environment
architectures at multiple levels of abstraction, encompassing both hardware and software. It has five modes of operation (Design, Model Validation, Build Simulation, Simulate Syste...
Paul S. Coe, Fred W. Howell, Roland N. Ibbett, Lau...
3DPVT
2006
IEEE
167views Visualization» more  3DPVT 2006»
14 years 2 months ago
Hierarchical Representation of Virtual Cities for Progressive Transmission over Networks
Interactive network-based navigation over large urban environments raises difficult problems due to the size and complexity of these scenes. In this paper, we present a clientser...
Jérôme Royan, R. Balter, Christian Bo...
NECO
2010
129views more  NECO 2010»
13 years 7 months ago
A Two-Layer Model of Natural Stimuli Estimated with Score Matching
We consider a hierarchical two-layer model of natural signals in which both layers are learned from the data. Estimation is accomplished by Score Matching, a recently proposed est...
Urs Köster, Aapo Hyvärinen