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» Learning a Generative Model for Structural Representations
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ICML
2010
IEEE
13 years 8 months ago
Asymptotic Analysis of Generative Semi-Supervised Learning
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
Joshua Dillon, Krishnakumar Balasubramanian, Guy L...
CGI
2004
IEEE
13 years 11 months ago
Computer Aided Design for Origamic Architecture Models with Polygonal Representation
An Origamic Architecture (OA) is a folded sheet of perforated paper from which a three-dimensional structure "pops up" when it is opened. It is similar to a "pop-up...
Jun Mitani, Hiromasa Suzuki
EP
1998
Springer
13 years 11 months ago
A DTD Extension for Document Structure Recognition
This paper deals with the representation of document models used in the field of document recognition. A novel formalism called generalized n-gram is presented, which is shown to b...
Rolf Brugger, Frédéric Bapst, Rolf I...
CIARP
2009
Springer
14 years 2 months ago
Learning Relational Grammars from Sequences of Actions
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
Blanca Vargas-Govea, Eduardo F. Morales
WSCG
2004
141views more  WSCG 2004»
13 years 9 months ago
Efficient Generation of Triangle Strips from Triangulated Meshes
This paper presents a fast algorithm for generating triangle strips from triangulated meshes, providing a compact representation suitable for transmission and rendering of the mod...
Oliver Matias van Kaick, Murilo Vicente Gonç...