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» Learning Determinantal Point Processes
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ICDAR
2009
IEEE
14 years 3 months ago
Inductive Logic Programming for Symbol Recognition
In this paper, we make an attempt to use Inductive Logic Programming (ILP) to automatically learn non trivial descriptions of symbols, based on a formal description. This work is ...
K. C. Santosh, Bart Lamiroy, Jean-Philippe Ropers
IV
2008
IEEE
158views Visualization» more  IV 2008»
14 years 3 months ago
ComVis: A Coordinated Multiple Views System for Prototyping New Visualization Technology
There is a large number of interactive visualization tools, however no universal tool exists that covers all relevant aspects for all possible application domains. We have develop...
Kresimir Matkovic, Wolfgang Freiler, Denis Gracani...
CVPR
2007
IEEE
14 years 3 months ago
Conformal Embedding Analysis with Local Graph Modeling on the Unit Hypersphere
We present the Conformal Embedding Analysis (CEA) for feature extraction and dimensionality reduction. Incorporating both conformal mapping and discriminating analysis, CEA projec...
Yun Fu, Ming Liu, Thomas S. Huang
ICCV
2005
IEEE
14 years 2 months ago
Priors for People Tracking from Small Training Sets
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...
DAGM
2004
Springer
14 years 2 months ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola