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» The Tradeoffs of Large Scale Learning
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ATAL
2006
Springer
13 years 11 months ago
Using multiagent teams to improve the training of incident commanders
The DEFACTO system is a multiagent based tool for training incident commanders for large scale disasters. In this paper, we highlight some of the lessons that we have learned from...
Nathan Schurr, Pratik Patil, Frederic H. Pighin, M...
ICIP
2010
IEEE
13 years 5 months ago
Saliency detection based on short-term sparse representation
Representation and measurement are two important issues for saliency models. Different with previous works that learnt sparse features from large scale natural statistics, we prop...
Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Pengfei X...
CVPR
2008
IEEE
14 years 10 months ago
Manifold learning using robust Graph Laplacian for interactive image search
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
CLOR
2006
13 years 11 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
ICB
2007
Springer
159views Biometrics» more  ICB 2007»
13 years 11 months ago
Coarse Iris Classification by Learned Visual Dictionary
Abstract. In state-of-the-art iris recognition systems, the input iris image has to be compared with a large number of templates in database. When the scale of iris database increa...
Xianchao Qiu, Zhenan Sun, Tieniu Tan