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» Learning the Structure of Deep Sparse Graphical Models
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95
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ISVC
2010
Springer
14 years 11 months ago
Indented Pixel Tree Plots
We introduce Indented Pixel Tree Plots (IPTPs): a novel pixel-based visualization technique for depicting large hierarchies. It is inspired by the visual metaphor of indented outli...
Michael Burch, Michael Raschke, Daniel Weiskopf
NIPS
2008
15 years 3 months ago
Kernel Measures of Independence for non-iid Data
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...
138
Voted
CIDM
2009
IEEE
15 years 8 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
ISBI
2007
IEEE
15 years 8 months ago
Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models
This paper presents a new framework for shape modeling and analysis. A shape instance is described by a curvature-based shape descriptor. A Profile Hidden Markov Model (PHMM) is ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
SIGGRAPH
2010
ACM
15 years 6 months ago
SmartBoxes for interactive urban reconstruction
We introduce an interactive tool which enables a user to quickly assemble an architectural model directly over a 3D point cloud acquired from large-scale scanning of an urban scen...
Liangliang Nan, Andrei Sharf, Hao Zhang, Daniel Co...