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148
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NECO
2010
147views more  NECO 2010»
15 years 27 days ago
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
Lars Büsing, Benjamin Schrauwen, Robert A. Le...
DRR
2009
15 years 8 days ago
Using synthetic data safely in classification
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
Jean Nonnemaker, Henry Baird
ICIP
2009
IEEE
15 years 7 days ago
Two-dimensional geometric lifting
Wavelets provide a sparse representation for piecewise smooth signals in 1-D; however, separable extensions of wavelets to multiple dimensions do not achieve the same level of spa...
Joshua Blackburn, Minh N. Do
144
Voted
PAMI
2010
225views more  PAMI 2010»
14 years 9 months ago
Semi-Supervised Classification via Local Spline Regression
Abstract--This paper presents local spline regression for semisupervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the...
Shiming Xiang, Feiping Nie, Changshui Zhang
501
Voted
CVPR
2011
IEEE
1838views Computer Vision» more  CVPR 2011»
15 years 19 hour ago
Reconstructing an image from its local descriptors
This paper shows that an image can be approximately reconstructed based on the output of a blackbox local description software such as those classically used for image indexing. Ou...
Philippe Weinzaepfel, Hervé Jégou and Patrick Pe...