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» A Graph Based Data Model for Graphics Interpretation
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ICDAR
2009
IEEE
15 years 10 months ago
2D CAD Data Mining Based on Spatial Relation
In this research, we propose CAD data mining technique to obtain semantic elements without prior knowledge about plans being designed. Our method consists of two steps. The first ...
Hiroaki Kizu, Junko Yamamoto, Takeshi Takeda, Keij...
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
15 years 9 months ago
Belief Propagation in Large, Highly Connected Graphs for 3D Part-Based Object Recognition
We describe a part-based object-recognition framework, specialized to mining complex 3D objects from detailed 3D images. Objects are modeled as a collection of parts together with...
Frank DiMaio, Jude W. Shavlik
EGPGV
2004
Springer
143views Visualization» more  EGPGV 2004»
15 years 8 months ago
Massive Data Pre-Processing with a Cluster Based Approach
Data coming from complex simulation models reach easily dimensions much greater than available computational resources. Visualization of such data still represents the most intuit...
Rita Borgo, Valerio Pascucci, Roberto Scopigno
ACSD
2006
IEEE
105views Hardware» more  ACSD 2006»
15 years 9 months ago
Throughput Analysis of Synchronous Data Flow Graphs
Synchronous Data Flow Graphs (SDFGs) are a useful tool for modeling and analyzing embedded data flow applications, both in a single processor and a multiprocessing context or for...
Amir Hossein Ghamarian, Marc Geilen, Sander Stuijk...
PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
15 years 1 months ago
A Cluster-Level Semi-supervision Model for Interactive Clustering
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Avinava Dubey, Indrajit Bhattacharya, Shantanu God...