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» FFT and Convolution Performance in Image Filtering on GPU
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ICANN
2010
Springer
13 years 6 months ago
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
Dominik Scherer, Hannes Schulz, Sven Behnke
ICDAR
2011
IEEE
12 years 4 months ago
Text-Line Extraction Using a Convolution of Isotropic Gaussian Filter with a Set of Line Filters
—Text-line extraction is a key task in document analysis. Methods based on anisotropic Gaussian filtering and ridge detection have shown good results. This paper describes perfo...
Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breu...
ISBI
2009
IEEE
13 years 11 months ago
Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)
Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise. In this pa...
Wei Xu, Klaus Mueller
ICIP
2009
IEEE
14 years 6 months ago
Image Deconvolution By Stein Block Thresholding
In this paper, we propose a fast image deconvolution algorithm that combines adaptive block thresholding and Vaguelet-Wavelet Decomposition. The approach consists in first denoisi...
HIPC
2009
Springer
13 years 2 months ago
Optimizing the use of GPU memory in applications with large data sets
Abstract--With General Purpose programmable GPUs becoming more and more popular, automated tools are needed to bridge the gap between achievable performance from highly parallel ar...
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer