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» A selective sampling approach to active feature selection
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MICCAI
2007
Springer
16 years 2 months ago
Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh
INFOCOM
2007
IEEE
15 years 8 months ago
Randomized k-Coverage Algorithms For Dense Sensor Networks
— We propose new algorithms to achieve k-coverage in dense sensor networks. In such networks, covering sensor locations approximates covering the whole area. However, it has been...
Mohamed Hefeeda, M. Bagheri
BC
2005
92views more  BC 2005»
15 years 1 months ago
Spontaneous symmetry breaking in self-organizing neural fields
Weextendthetheoryofself-organizingneuralfields in order to analyze the joint emergence of topography and feature selectivity in primary visual cortex through spontaneous symmetry b...
Paul C. Bressloff
CSCW
2002
ACM
15 years 1 months ago
Contact management: identifying contacts to support long-term communication
Much of our daily communication activity involves managing interpersonal communications and relationships. Despite its importance, this activity of contact management is poorly un...
Steve Whittaker, Quentin Jones, Loren G. Terveen
AAAI
2010
15 years 3 months ago
G-Optimal Design with Laplacian Regularization
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...