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Chapter and Conference Paper
Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network
Decoding brain states under different task conditions from functional magnetic resonance imaging (tfMRI) data has attracted more and more attentions in neuroimaging studies. Although various methods have been ...
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Chapter and Conference Paper
Research on Intelligent Classified Trash Can and Smart Application Design—Achieving Green Smart Home Living in China
Garbage classification has been implemented abroad for a long time, but for China, it is still in the initial stage of consciousness germination. This paper is aiming to build an intelligent garbage classified...
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Chapter and Conference Paper
Learning Generative Deception Strategies in Combinatorial Masking Games
Deception is a crucial tool in the cyberdefence repertoire, enabling defenders to leverage their informational advantage to reduce the likelihood of successful attacks. One way deception can be employed is thr...
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Chapter and Conference Paper
Comparison of Buildings Extraction Algorithms Based on Small UAV Aerial Images
Using small rotor UAV, this paper acquired the images of qionghalajun village of the artushi city in **njiang autonomous region. Then, two image analysis methods of object-oriented and pixel-oriented methods, ...
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Chapter and Conference Paper
A Neural Framework for Chinese Medical Named Entity Recognition
Named Entity Recognition (NER) in the medical field targets to extract names of disease, surgery, and the organ location from medical texts, which is considered as the fundamental work for medical robots and i...
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Chapter and Conference Paper
Two-Level Convolutional Neural Network for Aspect Extraction
Extract product aspect is an important task in fine-grained sentiment analysis. Though many models have been proposed to solve the problem. They either use handcrafted features or complex neural network archit...
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Chapter and Conference Paper
Helmet-Mounted Display System of Motorcyclist with Collision Detecting and Navigation
This work presents an innovative motorcyclist assistance system that involves the helmet-mounted display and accelerometer integrated into a motorcycle helmet. The proposed system based on MCU AT89S52 can show...
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Chapter and Conference Paper
An Unsupervised Change Detection Approach for Remote Sensing Image Using Visual Attention Mechanism
In this paper, we propose a novel approach for unsupervised change detection by integrating visual attention mechanism which has the ability to find the real changes between two images. The approach starts by ...
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Chapter and Conference Paper
Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage
Using long-running panel data from the Household, Income and Labour Dynamics in Australia (HILDA) survey collected annually between 2001 and 2015, we aim to generate a sequence of events for individuals by pro...
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Chapter and Conference Paper
Distributed Training Large-Scale Deep Architectures
Scale of data and scale of computation infrastructures together enable the current deep learning renaissance. However, training large-scale deep architectures demands both algorithmic improvement and careful s...
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Chapter and Conference Paper
An Unsupervised Change Detection Approach for Remote Sensing Image Using Principal Component Analysis and Genetic Algorithm
The novel approach presented in this paper aims for unsupervised change detection applicable and adaptable to remote sensing images. This is achieved based on a combination of principal component analysis (PCA...
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Chapter and Conference Paper
Effects of Reclaimed Water and C and N on Breakthrough Curves in Sandy Soil and Loam
Long-term irrigation with reclaimed water may change soil physical properties and solute transport rate due to C and N in reclaimed water and the particularity of reclaimed water. Ordinary water, reclaimed wat...
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Chapter and Conference Paper
A Non-seed-based Region Growing Algorithm for High Resolution Remote Sensing Image Segmentation
One of the indispensable prerequisites for high resolution remote sensing image interpretation and processing is successful image segmentation. The algorithm presented in this paper aims for a high efficient i...
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Chapter and Conference Paper
Robust User Community-Aware Landmark Photo Retrieval
Given a query photo characterizing a location-aware landmark shot by a user, landmark retrieval is about returning a set of photos ordered in their similarities to the photo. Existing studies on landmark retri...
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Chapter and Conference Paper
Belief Fusion of Predictions of Industries in China’s Stock Market
This contribution presents the application of Dempster-Shafer theory to the prediction of China’s stock market. To be specific, we predicted the most promising industry in the next month every trading day. Thi...
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Chapter and Conference Paper
Texture Smoothing Based on Adaptive Total Variation
Textures are ubiquitous and usually have fine details as well as meaningful structures on the surfaces. Many algorithms have been proposed for texture smoothing and structure extraction, but none of them obtai...
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Chapter and Conference Paper
Multi-modality Medical Case Retrieval Using Heterogeneous Information
Real-life clinical cases are important sources for computer diagnosis and pathologic analysis. In this paper, we propose a novel medical case retrieval framework based on multi-graph semi-supervised learning. ...
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Chapter and Conference Paper
Attribute-Based Fine-Grained Access Control with User Revocation
Attribute-based encryption brings a lot of convenience for access control. But it introduces several challenges with regard to the user revocation. In this paper, we propose an access control mechanism using n...
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Chapter and Conference Paper
DiabeticLink: An Integrated and Intelligent Cyber-Enabled Health Social Platform for Diabetic Patients
Given the demand of patient-centered care and limited healthcare resources, we believe that the community of diabetic patients is in need of an integrated cyber-enabled patient empowerment and decision support...
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Chapter and Conference Paper
Co-ranking Images and Tags via Random Walks on a Heterogeneous Graph
Ranking on image search results has attracted considerable attentions. Despite many graph-based ranking algorithms have demonstrated remarkable success, most of their applications are limited to single image-n...