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CVPR
2005
IEEE
14 years 2 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
SAMT
2007
Springer
136views Multimedia» more  SAMT 2007»
14 years 3 months ago
Ontology-Driven Semantic Video Analysis Using Visual Information Objects
In this paper, an ontology-driven approach for the semantic analysis of video is proposed. This approach builds on an ontology infrastructure and in particular a multimedia ontolog...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
ICIP
2005
IEEE
14 years 10 months ago
Combining interest points and edges for content-based image retrieval
Abstract-- This paper presents a novel approach using combined features to retrieve images containing specific objects, scenes or buildings. The content of an image is characterize...
Junqiu Wang, Hongbin Zha, Roberto Cipolla
CG
2005
Springer
13 years 8 months ago
Combining SP-Octrees and impostors for the visualisation of multiresolution models
Space-Partition Octree (SP-Octree) is a hierarchical representation scheme for solid modelling. It allows a multiresolution representation of polyhedral objects, and has been succ...
Francisco J. Melero, Pedro Cano, Juan Carlos Torre...
CLOR
2006
14 years 18 days ago
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
Ilkay Ulusoy, Christopher M. Bishop