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» Boosting Image Retrieval
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CVPR
2012
IEEE
11 years 10 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
CVPR
2007
IEEE
14 years 9 months ago
Automated Individualization of Deformable Eye Region Model and Its Application to Eye Motion Analysis
This paper proposes a method of automated individualization of eye region model. The eye region model has been proposed in past research that parameterizes both the structure and ...
Tsuyoshi Moriyama, Takeo Kanade
WACV
2008
IEEE
14 years 2 months ago
Localization and Segmentation of A 2D High Capacity Color Barcode
A 2D color barcode can hold much more information than a binary barcode. Barcodes are often intended for consumer use, such as, a consumer can take an image with her cellphone cam...
Devi Parikh, Gavin Jancke
MSE
2002
IEEE
198views Hardware» more  MSE 2002»
14 years 20 days ago
BSS: A New Approach for Watermark Attack
Digital watermarking is the enabling technology to prove ownership on copyrighted material, detect originators of illegally made copies, monitor the usage of the copyrighted multi...
Jiang Du, Choong-Hoon Lee, Heung-Kyu Lee, Young-Ho...
GIS
2009
ACM
13 years 11 months ago
Classification of raster maps for automatic feature extraction
Raster maps are widely available and contain useful geographic features such as labels and road lines. To extract the geographic features, most research work relies on a manual st...
Yao-Yi Chiang, Craig A. Knoblock