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» Exploiting Unlabeled Data in Content-Based Image Retrieval
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CVPR
2011
IEEE
13 years 3 months ago
Learning the Easy Things First: Self-Paced Visual Category Discovery
Objects vary in their visual complexity, yet existing discovery methods perform “batch” clustering, paying equal attention to all instances simultaneously—regardless of the ...
Yong Jae Lee, Kristen Grauman
SIGIR
2008
ACM
13 years 7 months ago
Topic-bridged PLSA for cross-domain text classification
In many Web applications, such as blog classification and newsgroup classification, labeled data are in short supply. It often happens that obtaining labeled data in a new domain ...
Gui-Rong Xue, Wenyuan Dai, Qiang Yang, Yong Yu
DICTA
2003
13 years 8 months ago
Separating a Colour Texture from an Arbitrary Background
Partially supervised segmentation, that is, segmentation with always incomplete training data has many practical applications in image analysis and retrieval. This paper proposes a...
Linjiang Yu, Georgy L. Gimel'farb
ACL
2012
11 years 9 months ago
Collective Generation of Natural Image Descriptions
We present a holistic data-driven approach to image description generation, exploiting the vast amount of (noisy) parallel image data and associated natural language descriptions ...
Polina Kuznetsova, Vicente Ordonez, Alexander C. B...
ICDAR
2011
IEEE
12 years 7 months ago
Edge-Based Features for Localization of Artificial Urdu Text in Video Images
—Content-based video indexing and retrieval has become an interesting research area with the tremendous growth in the amount of digital media. In addition to the audio-visual con...
Akhtar Jamil, Imran Siddiqi, Fahim Arif, Ahsen Raz...