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Searching for authors named "Dimitris Margaritis" – sorted by Relevance.

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  • A Bayesian Multiresolution Independence Test for Continuous Variables  
  • by Dimitris Margaritis — 2001 — In UAI
  • …In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions. Our approach is motivated by the observation that the appearance of continuous data varies widely at various resolution…
  • Cited by 7 (0 self) – Add To MetaCart
  • Learning To Locate An Object in 3D Space From A Sequence Of Camera Images  
  • by Sebastian Thrun, Dimitris Margaritis, Dimitris Margaritis — 1998 — Proc. of Int. Conf. on Machine Learning
  • …This paper addresses the problem of determining an object's 3D location from a stream of camera images recorded by mobile robot. The approach presented here allows people to "train" robots to recognize specific objects, by presenting it examples of the object to be recognized. A decision tree method…
  • Cited by 16 (1 self) – Add To MetaCart
  • Bayesian Network Induction via Local Neighborhoods  
  • by Dimitris Margaritis, Sebastian Thrun — Advances in Neural Information Processing Systems 12
  • …In recent years, Bayesian networks have become highly successful tool for diagnosis, analysis, and decision making in real-world domains. We present an efficient algorithm for learning Bayes networks from data. Our approach constructs Bayesian networks by first identifying each node's Markov blan…
  • Cited by 31 (4 self) – Add To MetaCart
  • NetCube: A Scalable Tool for Fast Data Mining and Compression  
  • by Dimitris Margaritis Computer, Dimitris Margaritis — 2001 — In Proceedings of the 27th VLDB Conference
  • …We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute values and "don't cares." A Bayesian network represents the underlying joint probability distribution of the data th…
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  • Learning To Locate An Object in 3D Space From A Sequence Of Camera Images  
  • by Dimitris Margaritis Dept, Dimitris Margaritis, Sebastian Thrun — 1998 — Proc. of Int. Conf. on Machine Learning
  • …This paper addresses the problem of determining an object's 3D location from a sequence of camera images recorded by a mobile robot. The approach presented here allows people to "train" robots to recognize specific objects, by presenting it examples of the object to be recognized. A decision t…
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  • Regions-of-Interest and Spatial Layout for Content-Based Image Retrieval  
  • by Baback Moghaddam, Baback Moghaddam, Henning Biermann, Henning Biermann, Dimitris Margaritis, Dimitris Margaritis — 2000 — in European Workshop on Content-Based Multimedia Indexing, CBMI'99
  • …To date most "content-based image retrieval" (CBIR) techniques rely on global attributes such as color or texture histograms which tend to ignore the spatial composition of the image. In this paper, we present an alternative image retrieval system based on the principle that it is the user who is mo…
  • Cited by 4 (3 self) – Add To MetaCart
  • Defining Image Content with Multiple Regions-of-Interest  
  • by Baback Moghaddam, Henning Biermann, Dimitris Margaritis — 1999 — 8993, Proceedings of IEEE Workshop on CBALVL
  • …With the proliferation of multimedia, the web and digital imaging, there now exists a high demand for intelligent tools for image management, most importantly indexing, search and retrieval, commonly referred to as "query-by-image-content". Existing systems often make use of global attributes such a…
  • Cited by 12 (0 self) – Add To MetaCart
  • Design, Implementation, and Evaluation of a Parallel Image Shape Indexer  
  • by Tzi-cker Chiueh, Dimitris Margaritis, Srinidhi Varadarajan — 1997 — in Proceedings of Visual '97, Visual Information Management
  • …Abstract This paper describes the design, implementation, andevaluation of a parallel indexer called PAMIS 1 for a polygonal 2D shape image database. PAMIS is based on a shaperepresentation scheme called the turning function, which…
  • Cited by 1 (1 self) – Add To MetaCart
  • Efficient markov network structure discovery using independence tests  
  • by Facundo Bromberg, Dimitris Margaritis, Vasant Honavar — 2006 — In Proc SIAM Data Mining
  • …We present two algorithms for learning the structure of a Markov network from discrete data: GSMN and GSIMN. Both algorithms use statistical conditional independence tests on data to infer the structure by successively constraining the set of structures consistent with the results of these tests. GS…
  • Cited by 7 (0 self) – Add To MetaCart
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