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Article
Fast shape recognition via a bi-level restraint reduction of contour coding
Shape recognition is an active research topic in the field of computer vision and graphic computing. Nevertheless, existing methods are still poor in accuracy and efficiency in some extent, which greatly limit...
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Article
Superpixels with contour adherence via label expansion for image decomposition
Superpixels could effectively decompose an image into perceptually meaningful partitions, thus facilitating various high-level computer vision tasks. As a pre-processing tool to speed up the subsequent steps, ...
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Chapter and Conference Paper
An Ultra-High Speed Gesture Recognition Algorithm Based on MobileNetV2
To solve the problem of interference in gesture detection and recognition under complex background, an ultra-high speed gesture recognition method based on a depth model is proposed. Generally, 12.5 frames per...
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Chapter and Conference Paper
Superpixel Segmentation via Contour Optimized Non-Iterative Clustering
Superpixels intuitively over-segment an image into small partitions with homogeneity. Owing to the superiority of region-level description, it has been widely used in various computer vision applications as a ...
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Chapter and Conference Paper
A-GNN: Anchors-Aware Graph Neural Networks for Node Embedding
With the rapid development of information technology, it has become increasingly popular to handle and analyze complex relationships of various information network applications, such as social networks and bio...
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Chapter and Conference Paper
Gradable Cloud Detection in Four-Band Remote Sensing Images
Cloud detection is one of the major techniques in remote sensing image processing. Many cloud detection algorithms have been developed recently. According to the type of remote sensing images that are used to ...
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Article
Reinforcement learning aided parameter control in multi-objective evolutionary algorithm based on decomposition
Multi-objective evolutionary algorithm based on decomposition (MOEA/D) has been successfully applied in solving multi-objective optimization problems. However, the performance of MOEA/D could be severely influ...
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Article
An auxiliary gaze point estimation method based on facial normal
Considering the main disadvantage of the existing gaze point estimation methods which restrict user’s head movement and have potential injury on eyes, we propose a gaze point estimation method based on facial...
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Article
Performance evaluation of research universities in Mainland China, Hong Kong and Taiwan: based on a two-dimensional approach
For a long time, rankings overused in evaluating Chinese universities’ research performance. The relationship between research production and research quality hasn’t been taken seriously in ranking systems. Mo...
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Chapter and Conference Paper
A Self-organization Method for Reorganizing Resources in a Distributed Network
Using bio-inspired agents to reorganize resource has been adopted to address the distributed resource optimization issue in distributed networks. This paper presents a self-organization algorithm to reorganize...
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Chapter and Conference Paper
A Path Prediction Method for Human-Accompanying Mobile Robot Based on Neural Network
This paper presents a path prediction method for human-accompanying mobile robot such as robotic wheelchair, domestic robot and tour guide robot. An accompanying human is detected using an in-vehicle laser ran...
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Chapter and Conference Paper
A Novel CBCD Scheme Based on Local Features Category
Global and local features have been applied extensively to improve the performance of Content-Based Copy Detection (CBCD) systems. A novel CBCD scheme which uses global features to category local features is p...
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Chapter and Conference Paper
Scale-Space Feature Based Image Watermarking in Contourlet Domain
In scale-space feature based watermarking schemes, the watermark is usually embedded in spatial domain so that watermark robustness is not satisfactory. In this paper, a novel image watermarking scheme is pres...