200 Result(s)
within
Chapter
Jiao **
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
Dual Siamese Channel Attention Networks for Visual Object Tracking
Siamese network based trackers have achieved remarkable performance on visual object tracking. The target position is determined by the similarity map produced via cross-correlation over features generated fro...
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Chapter and Conference Paper
Gaussian Balanced Sampling for End-to-End Pedestrian Detector
Recently, NMS-free detector has become a research hotspot to eliminate negative influences, while NMS-based detector mis-suppress objects in crowd scene. However, NMS-free may face the problem of sample imbala...
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Chapter and Conference Paper
On the Possibility of Object-Oriented Speculative Design: A Genderless AI Speaker Based on Anti-correlation Thinking
Intelligent objects in the Internet of Things (IoT) environment have been gradually endowed with many “autonomous” attributes, which inevitably echo the trending thought of speculative realism. Moreover, when ...
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Chapter and Conference Paper
Graph Intelligence Enhanced Bi-Channel Insider Threat Detection
For an organization, insider intrusion generally poses far more detrimental threats than outsider intrusion. Traditionally, insider threat is detected by analyzing logged user behaviours and then establishing ...
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Chapter and Conference Paper
Motion-Aligned and Hardness-Aware Dynamic Update Network for Weakly-Supervised Vehicle Detection in Satellite Videos
Though the deep learning methods have achieved effective moving vehicle detection in satellite videos, there is a non-negligible premise that these methods require lots of object-level annotations for hundreds...
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Chapter and Conference Paper
BA-GAN: Bidirectional Attention Generation Adversarial Network for Text-to-Image Synthesis
It is difficult for the generated image to maintain semantic consistency with the text descriptions of natural language, which is a challenge of text-to-image generation. A bidirectional attention generation a...
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Chapter and Conference Paper
PolSF: PolSAR Image Datasets on San Francisco
Polarimetric SAR data has the characteristics of all-weather, all-time and so on, which is widely used in many fields. However, the data of annotation is relatively small, which is not conducive to our resear...
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Chapter and Conference Paper
RSMatch: Semi-supervised Learning with Adaptive Category-Related Pseudo Labeling for Remote Sensing Scene Classification
Remote sensing scene classification (RSSC) has become a hot and challenging research topic in recent years due to its wide applications. Due to the development of convolutional neural networks (CNN), the data...
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Chapter and Conference Paper
A Study on Player Experience in Real-Time Strategy Games Combined with Eye-Tracking and Subjective Evaluation
Video games have been a novel type of entertainment with the rapid development of computer technology in the information era. Real-time strategy games (RTSGs) have obtained great popularity among players for a...
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Chapter and Conference Paper
Multi-scale Spatial Aggregation Network for Remote Sensing Image Segmentation
Semantic segmentation of remote sensing images is of great significance to the interpretation of remote sensing images. Recently, convolutional neural networks have been increasingly used in this task since it...
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Chapter and Conference Paper
Observer-Based \(H_{\infty }\) -Consensus Control of Multi-agent Systems Under WTOD Protocol
In this paper, the observer-based \(H_{\infty }\) H ...
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Chapter and Conference Paper
Accelerating Deep Convolutional Neural Network Inference Based on OpenCL
In recent years, in order to facilitate the efficient application of deep convolutional neural networks, it has become increasingly important to accelerate the inference stage of deep convolutional neural net...
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Chapter and Conference Paper
A Directed Search Many Objective Optimization Algorithm Embodied with Kernel Clustering Strategy
With the vast existence of multi-objective optimization problems to the scientific research and engineering applications, Many-objective Evolutionary Algorithms (MaOEAs) demand to systematically perpetuate pop...
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Chapter and Conference Paper
Augmentation Based Synthetic Sampling and Ensemble Techniques for Imbalanced Data Classification
The imbalance data problem appears in data mining fields and has recently attracted the attention of researchers. In order to solve this problem, scholars proposed various approaches such as undersampling majo...
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Chapter and Conference Paper
Cyclostationary Random Number Sequences for the Tsetlin Machine
The Tsetlin Machine (TM) constitutes an emerging machine learning algorithm that has shown competitive performance on several benchmarks. The underlying concept of the TM is propositional logic determined by a...
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Chapter and Conference Paper
Deep Siamese Network with Contextual Transformer for Remote Sensing Images Change Detection
Change detection is one of the most important and challenging tasks in remote sensing images processing. Deep learning has gradually become one of the most popular technologies in remote sensing image change d...
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Chapter and Conference Paper
Bubble Based Micromanipulators in Microfluidics Systems: A Mini-review
Bubbles in liquid have the advantages of controllability, compressib...
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Chapter and Conference Paper
Visual Question Answering of Remote Sensing Image Based on Attention Mechanism
In recent years, the research of attention mechanism has made significant progress in the field of computer vision. In the processing of visual problems of remote sensing images, the attention mechanism can ma...
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Chapter and Conference Paper
Towards Personalized Review Generation with Gated Multi-source Fusion Network
Product review generation is an important task in recommender systems, which could provide explanation and persuasiveness for the recommendation. The key challenge of review generation is a lack of semantic in...
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Chapter and Conference Paper
Deep Complex Convolutional Neural Networks for Remote Sensing Image Classification
At present, the neural network is often based on the real field of operation, research shows that, compared with the real field, the complex has incomparable advantages in the field of image processing, such a...
