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» Multiple Object Class Detection with a Generative Model
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JOT
2006
105views more  JOT 2006»
13 years 7 months ago
Improving the Use of Multiplicity in UML Association
Through the incorporation of derived classes and associations in class diagrams, this paper proposes a method to improve the specification power of multiplicity for n-ary associat...
Hee Beng Kuan Tan, Yong Yang, Lei Bian
CVPR
2003
IEEE
14 years 9 months ago
Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field
This paper presents a generative model based approach to man-made structure detection in 2D natural images. The proposed approach uses a causal multiscale random field suggested i...
Sanjiv Kumar, Martial Hebert
ECCV
2010
Springer
13 years 9 months ago
A coarse-to-fine taxonomy of constellations for fast multi-class object detection
In order for recognition systems to scale to a larger number of object categories building visual class taxonomies is important to achieve running times logarithmic in the number o...
ICIP
2006
IEEE
14 years 9 months ago
A Generalized Discriminative Muitiple Instance Learning for Multimedia Semantic Concept Detection
In the paper we present a generalized discriminative multiple instance learning algorithm (GD-MIL) for multimedia semantic concept detection. It combines the capability of the MIL...
Sheng Gao, Qibin Sun
PAMI
2008
189views more  PAMI 2008»
13 years 7 months ago
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Ma...