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» A Graph Based Data Model for Graphics Interpretation
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GBRPR
2009
Springer
13 years 11 months ago
A Graph Based Data Model for Graphics Interpretation
A universal data model, named DG, is introduced to handle vectorized data uniformly during the whole recognition process. The model supports low level graph algorithms as well as h...
Endre Katona
TCSV
2008
175views more  TCSV 2008»
13 years 4 months ago
Expandable Data-Driven Graphical Modeling of Human Actions Based on Salient Postures
This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...
Wanqing Li, Zhengyou Zhang, Zicheng Liu
JMLR
2006
103views more  JMLR 2006»
13 years 4 months ago
A Graphical Representation of Equivalence Classes of AMP Chain Graphs
This paper deals with chain graph models under alternative AMP interpretation. A new representative of an AMP Markov equivalence class, called the largest deflagged graph, is prop...
Alberto Roverato, Milan Studený
ICIAR
2009
Springer
13 years 9 months ago
VizDraw: A Platform to Convert Online Hand-Drawn Graphics into Computer Graphics
Abstract. With the adoption of tablet-based data entry devices, there is considerable interest in methods for converting hand-drawn sketches of flow charts, graphs and block diagr...
Akshaya Kumar Mishra, Justin A. Eichel, Paul W. Fi...
JMLR
2010
134views more  JMLR 2010»
12 years 11 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut