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» FFT and Convolution Performance in Image Filtering on GPU
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CLUSTER
2009
IEEE
13 years 3 months ago
Coordinating the use of GPU and CPU for improving performance of compute intensive applications
GPUs have recently evolved into very fast parallel co-processors capable of executing general purpose computations extremely efficiently. At the same time, multi-core CPUs evolutio...
George Teodoro, Rafael Sachetto Oliveira, Olcay Se...
MEMICS
2010
13 years 12 days ago
Efficient Computation of Morphological Greyscale Reconstruction
Morphological reconstruction is an important image operator from mathematical morphology. It is very often used for filtering, segmentation, and feature extraction. However, its c...
Pavel Karas
BIBE
2007
IEEE
208views Bioinformatics» more  BIBE 2007»
13 years 9 months ago
The GPU on biomedical image processing for color and phenotype analysis
The computational power and memory bandwidth of graphics processing units (GPUs) have turned them into attractive platforms for general-purpose applications. In this paper, we expl...
Antonio Ruiz, Manuel Ujaldon, Jose Antonio Andrade...
TOG
2010
106views more  TOG 2010»
13 years 9 days ago
Accelerating spatially varying Gaussian filters
High-dimensional Gaussian filters, most notably the bilateral filter, are important tools for many computer graphics and vision tasks. In recent years, a number of techniques for ...
Jongmin Baek, David E. Jacobs
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
15 years 22 days ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...