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VDBSCAN plus : Performance Optimization Based on GPU Parallelism
(Ieee, 2013-01-01)
Spatial data mining techniques enable the knowledge extraction from spatial databases. However, the high computational cost and the complexity of algorithms are some of the main problems in this area. This work proposes a ...
Using GPU to exploit parallelism on cryptography
(2011-09-12)
In this article we explore the NVIDIA graphical processing units (GPU) computational power in cryptography using CUDA (Compute Unified Device Architecture) technology. CUDA makes the general purpose computing easy using ...
Paralelização automática de laços
(IEEE, 2014-01-01)
Identify opportunities for software parallelism is a task that takes a lot of human time, but once some code patterns for parallelism are identified, a software could quickly accomplish this task. Thus, automating this ...
Image Re-Ranking Acceleration on GPUs
(Ieee, 2013-01-01)
Huge image collections are becoming available lately. In this scenario, the use of Content-Based Image Retrieval (CBIR) systems has emerged as a promising approach to support image searches. The objective of CBIR systems ...
Training Optimum-Path Forest on Graphics Processing Units
(Ieee, 2014-01-01)
In this paper, we presented a Graphics Processing Unit (GPU)-based training algorithm for Optimum-Path Forest (OPF) classifier. The proposed approach employs the idea of a vector-matrix multiplication to speed up both ...
Training optimum-path forest on graphics processing units
(2014-01-01)
In this paper, we presented a Graphics Processing Unit (GPU)-based training algorithm for Optimum-Path Forest (OPF) classifier. The proposed approach employs the idea of a vector-matrix multiplication to speed up both ...
Image Re-ranking Acceleration On Gpus
(IEEE Computer Society, 2013)
Effective, efficient, and scalable unsupervised distance learning in image retrieval tasks
(2015-06-22)
Various unsupervised learning methods have been proposed with significant improvements in the effectiveness of image search systems. However, despite the relevant effectiveness gains, these approaches commonly require high ...
Unsupervised similarity learning through cartesian product of ranking references for image retrieval tasks
(2017-01-10)
Despite the consistent advances in visual features and other Content-Based Image Retrieval techniques, measuring the similarity among images is still a challenging task for effective image retrieval. In this scenario, ...