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» Gradients for Retinotectal Mapping
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NECO
2007
115views more  NECO 2007»
15 years 3 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...
PAMI
2007
185views more  PAMI 2007»
15 years 3 months ago
Restoring 2D Content from Distorted Documents
—This paper presents a framework to restore the 2D content printed on documents in the presence of geometric distortion and nonuniform illumination. Compared with text-based docu...
Michael S. Brown, Mingxuan Sun, Ruigang Yang, Lin ...
NAA
2004
Springer
178views Mathematics» more  NAA 2004»
15 years 9 months ago
Performance Optimization and Evaluation for Linear Codes
In this paper, we develop a probabilistic model for estimation of the numbers of cache misses during the sparse matrix-vector multiplication (for both general and symmetric matrice...
Pavel Tvrdík, Ivan Simecek
VC
2010
177views more  VC 2010»
15 years 2 months ago
Color-to-gray conversion using ISOMAP
In this paper we present a new algorithm to transform an RGB color image to a grayscale image. We propose using non-linear dimension reduction techniques to map higher dimensional ...
Ming Cui, Jiuxiang Hu, Anshuman Razdan, Peter Wonk...
HVEI
2009
15 years 2 months ago
Luminance, disparity, and range statistics in 3D natural scenes
Range maps have been actively studied in the last few years in the context of depth perception in natural scenes. With the availability of co-registered luminance information, we ...
Yang Liu, Lawrence K. Cormack, Alan C. Bovik