Zhang Yun-Quan,Chen Guo-Liang,Sun Guang-Zhong,Mi-ao Qian-Kun.Models of parallel computation:A survey andclassification. Frontiers of Computer Science in China . 2007Zhang Y Q, Chen G L, Sun G Z, et al. Models of parallel computation: a survey and classification. Frontiers of Computer ...
MASSIVELY PARALLEL PROCESSORSPARALLEL PROCESSING (COMPUTERS)PATTERN RECOGNITIONIMAGE PROCESSINGREMOTE SENSINGRESPONSE TIME (COMPUTERS)SPATIAL RESOLUTIONClassifiers are often used to produce land cover maps from multispectral Earth observation imagery. Conventionally, these classifiers have been designed to exploit ...
A Practical Hybrid Approach of Task Partitioning and Scheduling on Heterogeneous Parallel Distributed Image Computing System Heterogeneous Parallel Distributed Processing (PDP) systems, which exploit the aggregate power of a network of workstations (WSs) and Personal Computers (P... Q Kalim,H Masahiko...
Classification of Computers - A computer can be classified based on its size, capacity, and purpose. The following diagram illustrates different types of computers as per their size, capacity, and purpose.
Lavanya PhD, in Deep Learning and Parallel Computing Environment for Bioengineering Systems, 2019 5.7 Applications of CNN in Medical Image Analysis 5.7.1 Image Classification Image classification is the primary domain, in which deep neural networks play the most important role of medical image ...
The neural network has a high classification accuracy, powerful parallel distribution processing and learning ability, good robustness andfault toleranceto noisy nerves. Then it can fully approximate complicated nonlinear relationships, and has anassociative memoryfunction. However,neural networksrequire a vas...
Flynn's Classification of Computers: Flynn's Classification refers to a classification of parallel computer architectures. Visit to learn more about Flynn's Classification of Computers.
Motor Imagery On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification. CNN (FCMS) EMBC 2015 Motor Imagery Parallel convolutional-linear neural network for motor imagery classification. CNN EUSIPCO 2015 Motor Imagery Increase perf...
It is shown in Breiman (2001) that the RF accuracy is comparable to boosting with the added benefits of being relatively robust to outliers and noise and amenable to parallel implementation. When these ensemble methods are applied to image applications, the weak learners in boosting are associated...
Ni J, Yu Y, Mu Y, Xia Q (2013) On the security of an efficient dynamic auditing protocol in cloud storage. IEEE Trans Parallel Distrib Syst 25(10):2760–2761 ArticleGoogle Scholar Shao B, Bian G, Wang Y, Su S, Guo C (2018) Dynamic data integrity auditing method supporting privacy ...