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» Learning a Generative Model for Structural Representations
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IV
2003
IEEE
99views Visualization» more  IV 2003»
15 years 5 months ago
Visual Representation of Database Queries using Structural Similarity
It is often useful to get high-level views of datasets in order to identify areas of interest worthy of further exploration. In relational databases, the high-level view can be de...
Dennis P. Groth
AAAI
2008
15 years 2 months ago
Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
Ian Porteous, Evgeniy Bart, Max Welling
CVPR
2005
IEEE
16 years 1 months ago
A High Resolution Grammatical Model for Face Representation and Sketching
In this paper we present a generative, high resolution face representation which extends the well-known active appearance model (AAM)[5, 6, 7] with two additional layers. (i) One ...
Zijian Xu, Hong Chen, Song Chun Zhu
ICPR
2008
IEEE
16 years 26 days ago
Supervised learning of a generative model for edge-weighted graphs
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Andrea Torsello, David L. Dowe
ICCV
2009
IEEE
16 years 4 months ago
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
Recognizing object classes and their 3D viewpoints is an important problem in computer vision. Based on a partbased probabilistic representation [31], we propose a new 3D object...
Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese