24 Result(s)
within
Chapter
Conference Paper
Wei WANG
Artificial Intelligence
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Chapter and Conference Paper
A Universal Fusion Strategy for Image Super-Resolution Jointly from External and Internal Examples
The validity of learning-based image super-resolution is largely limited by supporting dataset. Neither external-based nor internal-based super-resolution methods can perform well in real applications such as ...
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Chapter and Conference Paper
A Semantic Segmentation Approach Based on DeepLab Network in High-Resolution Remote Sensing Images
Recently, more and more applications for high-resolution remote sensing image intelligent processing are required. Therefore, the semantic segmentation based on deep learning has successfully attracted people...
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Chapter and Conference Paper
AnomalyDetect: An Online Distance-Based Anomaly Detection Algorithm
Anomaly detection is a key challenge in data mining, which refers to finding patterns in data that do not conform to expected behavior. It has a wide range of applications in many fields as diverse as finance,...
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Chapter and Conference Paper
Gaussian Noise Detection and Adaptive Non-local Means Filter
In this paper, a noise adaptive non-local means (NA-NLM) filter is presented to remove additive Gaussian noise from the corrupted images. Firstly, a novel pixel-wise Gaussian noise detection is proposed via ei...
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Chapter and Conference Paper
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning
Skeleton-based action recognition has made great progress recently, but many problems still remain unsolved. For example, the representations of skeleton sequences captured by most of the previous methods lack...
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Chapter and Conference Paper
High Capacity Reversible Data Hiding with Contrast Enhancement
Reversible data hiding aims at recovering exactly the cover image from the marked image after extracting the hidden data. Reversible data hiding with contrast enhancement proposed by Wu et al. achieved a good eff...
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Chapter and Conference Paper
PreNet: Parallel Recurrent Neural Networks for Image Classification
Convolutional Neural Networks (CNNs) have made outstanding achievements in computer vision, e.g., image classification and object detection, by modelling the receptive field of visual cortex with convolution a...
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Chapter and Conference Paper
Relevance and Coherence Based Image Caption
The attention-based image caption framework has been widely explored in recent years. However, most techniques generate next word conditioned on previous words and current visual contents, while the relationsh...
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Chapter and Conference Paper
Image Forgery Detection Based on Semantic Image Understanding
Image forensics has been focusing on low-level visual features, paying little attention to high-level semantic information of the image. In this work, we propose the framework for image forgery detection based...
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Chapter and Conference Paper
Event Detection and Summarization Using Phrase Network
Identifying events in real-time data streams such as Twitter is crucial for many occupations to make timely, actionable decisions. It is however extremely challenging because of the subtle difference between “...
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Chapter and Conference Paper
Automatic Matting Using Depth and Adaptive Trimap
Image matting refers to the problem of accurately extracting the foreground object from an image. The trimap containing labels of known foreground, known background and unknown has been broadly used to reduce ...
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Chapter and Conference Paper
Collecting Valuable Information from Fast Text Streams
It has become a challenging work to collect valuable information from fast text streams. In this work, we propose a method which gains useful information effectively and efficiently. Firstly, we maintain an an...
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Chapter and Conference Paper
Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy
Segmentation of interstitial catheters from MRI needs to be addressed in order for MRI-based brachytherapy treatment planning to become part of the clinical practice of gynecologic cancer radiotherapy. This pa...
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Chapter and Conference Paper
Incremental Sensor Placement Optimization on Water Network
Sensor placement on water networks is critical for the detection of accidental or intentional contamination event. With the development and expansion of cities, the public water distribution systems in cities ...
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Chapter and Conference Paper
Finite Element Analysis and Design Improvement of Film Picking Forks Roller Tooth in Field Cleaning Machine
In this paper the mechanical analysis of the film picking forks roller tooth in field -cleaning machine was done. A finite element analysis model was built and used by the non-linear finite element analysis me...
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Chapter and Conference Paper
Which Topic Will You Follow?
Who are the most appropriate candidates to receive a call-for-paper or call-for-participation? What session topics should we propose for a conference of next year? To answer these questions, we need to precise...
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Chapter and Conference Paper
Inferring Geographic Coincidence in Ephemeral Social Networks
We study users’ behavioral patterns in ephemeral social networks, which are temporarily built based on events such as conferences. From the data distribution and social theory perspectives, we found several in...
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Chapter and Conference Paper
Discriminate of Moldy Chestnut Based on Near Infrared Spectroscopy and Feature Extraction by Fourier Transform
As near infrared spectra has the characters of multi-variables and strong correlations, to solve the problem, Fourier transform (FT) was used to extract feature variables of shelled chestnuts spectra. FT coeff...
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Chapter and Conference Paper
Non-destructive Measurement of Sugar Content in Chestnuts Using Near-Infrared Spectroscopy
The chestnut (Castanea) is an important fruit in Europe and Asia. As a highly variable fruit, its quality is graded according to nutrition components, especially according to the sugar content, which are tradi...
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Chapter and Conference Paper
Design and Simulation of Jujube Sapling Transplanter
This paper is aiming at designing a novel jujube transplanter with mechanic arms, which can support the sapling for a while when other operations is going on. It improves uniformity and stability. Pro-E softwa...
