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149
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IJCV
2011
264views more  IJCV 2011»
14 years 10 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
147
Voted
IVC
2007
176views more  IVC 2007»
15 years 3 months ago
Kernel-based distance metric learning for content-based image retrieval
ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
Hong Chang, Dit-Yan Yeung
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
15 years 10 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
157
Voted
TITB
2010
138views Education» more  TITB 2010»
14 years 10 months ago
Local structure-based region-of-interest retrieval in brain MR images
The aging population and the growing amount of medical data have increased the need for automated tools in the neurology departments. Although the researchers have been developing ...
Devrim Unay, Ahmet Ekin, Radu S. Jasinschi
164
Voted
CLEF
2009
Springer
15 years 1 months ago
Overview of VideoCLEF 2009: New Perspectives on Speech-Based Multimedia Content Enrichment
VideoCLEF 2009 offered three tasks related to enriching video content for improved multimedia access in a multilingual environment. For each task, video data (Dutch-language telev...
Martha Larson, Eamonn Newman, Gareth J. F. Jones