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» Learning Visual Invariance
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CIVR
2010
Springer
199views Image Analysis» more  CIVR 2010»
15 years 7 months ago
Unsupervised multi-feature tag relevance learning for social image retrieval
Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval. In the literature this proble...
Xirong Li, Cees G. M. Snoek, Marcel Worring
121
Voted
VL
2007
IEEE
166views Visual Languages» more  VL 2007»
15 years 8 months ago
Community-Based Scaffolding to Promote End-User Learning
End-user programming provides a unique opportunity to study informal computer science education and knowledge acquisition in the real world. We seek to explore the use of communit...
Brian Dorn
142
Voted
MHCI
2009
Springer
15 years 8 months ago
Information empowerment through mobile learning
Information empowers those who make sense from its successful interpretation; this is especially true on the subject of weather where the recipient is required to have prior forms...
Raymond Koon Chuan Koh, Henry Xin Liong Tan, Henry...
142
Voted
AAAI
2012
13 years 4 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
116
Voted
KDD
2005
ACM
168views Data Mining» more  KDD 2005»
16 years 2 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...