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» A Regularization Approach to Metrical Task Systems
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ICIP
1999
IEEE
13 years 10 months ago
Wavelet-Domain Regularized Deconvolution for ILL-Conditioned Systems
by 0. In the discrete Fourier transform (DFT) domain, We propose a hybrid approach to wavelet-based image deconvolution that comprises Fourier-domain system inversion followed by w...
Ramesh Neelamani, Hyeokho Choi, Richard G. Baraniu...
CHI
2005
ACM
14 years 6 months ago
Profile before optimizing: a cognitive metrics approach to workload analysis
The Intelligence Analyst (IA) community will soon be the designated users of many new software tools. In the multitasking world of the IA, any one tool cannot be permitted to gree...
Wayne D. Gray, Michael J. Schoelles, Christopher W...
CVPR
2008
IEEE
14 years 8 months ago
Semi-supervised distance metric learning for Collaborative Image Retrieval
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang
AAAI
2006
13 years 7 months ago
A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking
The ability to accurately detect the location of a mobile node in a sensor network is important for many artificial intelligence (AI) tasks that range from robotics to context-awa...
Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Y...
NIPS
1998
13 years 7 months ago
Controlling the Complexity of HMM Systems by Regularization
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
Christoph Neukirchen, Gerhard Rigoll