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ICIP
2008
IEEE
15 years 4 months ago
A systematic study of the role of context on image classification
We present the results of a systematic study of the contextual gain hypothesis for image classification. This hypothesis relates the traditional strategy of direct visual classi...
Nikhil Rasiwasia, Nuno Vasconcelos
MEDINFO
2007
266views Healthcare» more  MEDINFO 2007»
14 years 11 months ago
Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval
Medical image retrieval can play an important role for diagnostic and teaching purposes in medicine. Image modality is an important visual characteristic that can be used to impro...
Jayashree Kalpathy-Cramer, William R. Hersh
ICPR
2010
IEEE
14 years 7 months ago
Multi-class Graph Boosting with Subgraph Sharing for Object Recognition
In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base clas...
Bang Zhang, Getian Ye, Yang Wang 0002, Wei Wang, J...
ICCV
2009
IEEE
14 years 7 months ago
Learning image similarity from Flickr groups using Stochastic Intersection Kernel MAchines
Measuring image similarity is a central topic in computer vision. In this paper, we learn similarity from Flickr groups and use it to organize photos. Two images are similar if th...
Gang Wang, Derek Hoiem, David A. Forsyth
ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Boosting multi-modal camera selection with semantic features
In this work semantic features are used to improve the results of the camera selection. These semantic features are group action, person action and person speaking. For this purpo...
Benedikt Hörnler, Dejan Arsic, Björn Sch...