7 Result(s)
within
English
Computer Science
Pattern Recognition
**-Tao Guo
Conference Paper
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Chapter and Conference Paper
Targeted Attack for Deep Hashing Based Retrieval
The deep hashing based retrieval method is widely adopted in large-scale image and video retrieval. However, there is little investigation on its security. In this paper, we propose a novel method, dubbed deep...
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Chapter and Conference Paper
Cascaded Global Context Convolutional Neural Network for Brain Tumor Segmentation
A cascade of global context convolutional neural networks is proposed to segment multi-modality MR images with brain tumor into three subregions: enhancing tumor, whole tumor and tumor core. Each network is a ...
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Chapter and Conference Paper
Self-attentive Pyramid Network for Single Image De-raining
Rain Streaks in a single image can severely damage the visual quality, and thus degrade the performance of current computer vision algorithms. To remove the rain streaks effectively, plenty of CNN-based method...
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Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
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Chapter and Conference Paper
Contact-Less Palm Vein Recognition Based on Wavelet Decomposition and Partial Least Square
To solve the problem of low recognition performance caused by contact-less imaging and poor palm vein image quality, a novel recognition method is proposed. Firstly, the ROI based on the thenar (a part of palm...
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Chapter and Conference Paper
Fast Implementation of String-Kernel-Based Support Vector Classifiers by GPU Computing
Text categorization is widely used in applications such as spam filtering, identification of document genre, authorship attribution, and automated essay grading. The rapid growth in the amount of text data giv...
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Chapter and Conference Paper
Application of Neural Network in Metal Loss Evaluation for Gas Conducting Pipelines
An application based on BP neural network is conducted on evaluating the state of metal loss in gas conducting pipelines. We employ network to quantify the defects of metal loss in outer pipe spool according t...
