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47 results about "Shared virtual memory" patented technology

Virtual Shared Memory (VSM) Definition - What does Virtual Shared Memory (VSM) mean? Virtual shared memory (VSM) is a technique through which multiple processors within a distributed computing architecture are provided with an abstract shared memory.

Chinese short text classification method based on characteristic extension

The invention provides a Chinese short text classification method based on characteristic extension, and the method comprises the following steps that (1) a background knowledge base is established: the two-tuples of feature words which meet a certain constraint condition are dug from a long text corpus with category marks to form the background knowledge base; (2) short text which is trained in a centralized way is extended: extension words are added to the short text which is trained in a centralized way according to a certain extension rule according to the two-tuples in the background knowledge base; (3) a classification model is built: a (shared virtual memory) SVM classification model is established through an extended short text training set; (4) the short text to be classified is extended: the extension words are added to the short text to be classified according to a certain extension rule according to the two-tuples in the background knowledge base and the feature space of the classification model; and (5) a classification result is generated: the classification result is generated through the classification model and the extended short text. According to the Chinese short text classification method based on characteristic extension, the features of the short text are enriched through the long text corpus, so that the accuracy and the recall rate in the classification of the short text are improved.
Owner:北京洛克威尔科技有限公司

Polarized SAR (Synthetic Aperture Radar) image classifying method based on cooperative representation and deep learning.

The invention discloses a polarized SAR (Synthetic Aperture Radar) image classifying method based on cooperative representation and deep learning, and mainly solves the problems that an existing method is high in computation complexity and low in classification precision. The method comprises the realizing steps: 1, inputting a polarized SAR image, and extracting the polarization characteristics of the image; 2, selecting a training sample set according to practical ground features, and selecting pixel points of the entire image as a test sample set; 3, taking the characteristics of the training sample set as an initial dictionary, and learning the initial dictionary to obtain a learning dictionary by K-SVD (Singular Value Decomposition); 4, synergically representing the training sample set and the testing sample set to obtain the representation coefficients of the training sample set and the testing sample set by the learning dictionary; 5, deeply learning the representation coefficients of the training sample set and the testing sample set so as to obtain more essential characteristic representing; and 6, carrying out the polarized SAR image classification on the representation coefficients by an libSVM (Shared Virtual Memory) classifier after the deep learning. The SAR image classifying method provided by the utility model is low in computation complexity and high in classification accuracy, and is applicable to the polarized SAR image classification.
Owner:XIDIAN UNIV
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