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» Learning a Generative Model for Structural Representations
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ICCV
2011
IEEE
12 years 7 months ago
Video Primal Sketch: A Generic Middle-Level Representation of Video
This paper presents a middle-level video representation named Video Primal Sketch (VPS), which integrates two regimes of models: i) sparse coding model using static or moving prim...
Zhi Han, Zongben Xu, Song-Chun Zhu
DATE
1999
IEEE
111views Hardware» more  DATE 1999»
13 years 12 months ago
Sequential Circuit Test Generation Using Decision Diagram Models
A novel approach to testing sequential circuits that uses multi-level decision diagram representations is introduced. The proposed algorithm consists of a combination of scanning ...
Jaan Raik, Raimund Ubar
HIS
2008
13 years 9 months ago
Artificial Data Sets Based on Knowledge Generators: Analysis of Learning Algorithms Efficiency
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
Joaquin Rios-Boutin, Albert Orriols-Puig, Josep Ma...
ICML
2009
IEEE
14 years 8 months ago
Structure learning with independent non-identically distributed data
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
Robert E. Tillman
CVPR
2006
IEEE
14 years 1 months ago
Motion Patterns: High-Level Representation of Natural Video Sequences
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
Duangmanee Putthividhya, Te-Won Lee