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» Optimizing Learning in Image Retrieval
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ICML
2009
IEEE
14 years 10 months ago
Learning structural SVMs with latent variables
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...
Chun-Nam John Yu, Thorsten Joachims
VIP
2003
13 years 10 months ago
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
Yong Xia, David Dagan Feng, Rongchun Zhao
GISCIENCE
2008
Springer
121views GIS» more  GISCIENCE 2008»
13 years 10 months ago
Identifying Maps on the World Wide Web
Abstract. This paper presents an automatic approach to mining collections of maps from the Web. Our method harvests images from the Web and then classifies them as maps or non-map...
Matthew Michelson, Aman Goel, Craig A. Knoblock
ITS
2004
Springer
170views Multimedia» more  ITS 2004»
14 years 2 months ago
Inducing Optimal Emotional State for Learning in Intelligent Tutoring Systems
Emotions play an important role in cognitive processes and specially in learning tasks. Moreover, there are some evidences that the emotional state of the learner correlated with h...
Soumaya Chaffar, Claude Frasson
CIVR
2007
Springer
136views Image Analysis» more  CIVR 2007»
14 years 3 months ago
Merging storyboard strategies and automatic retrieval for improving interactive video search
The Carnegie Mellon University Informedia group has enjoyed consistent success with TRECVID interactive search using traditional storyboard interfaces for shot-based retrieval. Fo...
Michael G. Christel, Rong Yan