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CVPR
2007
IEEE
16 years 1 months ago
Topology Preserving Log-Unbiased Nonlinear Image Registration: Theory and Implementation
In this paper, we present a novel framework for constructing large deformation log-unbiased image registration models that generate theoretically and intuitively correct deformati...
Igor Yanovsky, Paul M. Thompson, Stanley Osher, Al...
NECO
2007
115views more  NECO 2007»
14 years 11 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
91
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CISS
2007
IEEE
15 years 6 months ago
Limited Feedback Precoder Design for Spatially Correlated MIMO Channels
Abstract— It is well-known that perfect channel state information (CSI) at the transmitter and the receiver (CSIT/CSIR) can be used to decompose a multi-antenna channel into a ba...
Vasanthan Raghavan, Akbar M. Sayeed, Venugopal V. ...
CVPR
2009
IEEE
1148views Computer Vision» more  CVPR 2009»
16 years 6 months ago
Shape Constrained Figure-Ground Segmentation and Tracking
Global shape information is an effective top-down complement to bottom-up figure-ground segmentation as well as a useful constraint to avoid drift during adaptive tracking. We p...
Zhaozheng Yin, Robert T. Collins
CIDM
2009
IEEE
15 years 6 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...