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» Multiple Object Class Detection with a Generative Model
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ICCV
2001
IEEE
16 years 7 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
WWW
2004
ACM
16 years 5 months ago
Composite events for xml
Recently, active behavior has received attention in the XML field to automatically react to occurred events. Aside from proprietary approaches for enriching XML with active behavi...
Martin Bernauer, Gerti Kappel, Gerhard Kramler
CVPR
2009
IEEE
17 years 4 days ago
Unsupervised Learning of Hierarchical Spatial Structures In Images
The visual world demonstrates organized spatial patterns, among objects or regions in a scene, object-parts in an object, and low-level features in object-parts. These classes o...
Devi Parikh (Carnegie Mellon University), C. Lawre...
DEXA
1995
Springer
126views Database» more  DEXA 1995»
15 years 8 months ago
A Heuristic Approach for Optimization of Path Expressions
Abstract. The object-oriented database management systems store references to objects (implicit joins, precomputed joins), and use path expressions in query languages. One way of e...
Cetin Ozkan, Asuman Dogac, Cem Evrendilek
ECCV
2010
Springer
15 years 10 months ago
Inferring 3D Shapes and Deformations from Single Views
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...