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Chapter and Conference Paper
Residual Inter-slice Feature Learning for 3D Organ Segmentation
Although a large number of 2D convolutional neural networks have been reported and used for medical image segmentation, most of them still face the following two problems. First, these networks employ 2D convo...
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Chapter and Conference Paper
A Multi-modal System for Video Semantic Understanding
This paper proposes a video semantic understanding system based on multi-modal data fusion. The system includes two sub-models, the video classification tag model (VCT) and the video semantic tag model (VST), ...
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Chapter and Conference Paper
GPU-Accelerated Infrared Patch-Image Model for Small Target Detection
Infrared small target detection plays a significant role in precision guidance and infrared warning systems. Although existing methods based on infrared patch-image (IPI) model have achieved good detection res...
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Chapter and Conference Paper
Adaptive Registration for Multi-type Remote Sensing Images via Dynamic Feature Selection
Remote sensing image registration (RSIR) has been performed in various RS applications for decades. However, how to adaptively register multi-type (multi-view, multi-temporal, and multi-sensor) RS images remai...
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Chapter and Conference Paper
High Reliability Design of Student Status Information Acquisition System in Ideological and Political Classroom Under Multi-target Tracking
Aiming at the low reliability of the traditional ideological and political classroom student status information acquisition system, a high-reliability design of the ideological and political classroom student ...
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Chapter and Conference Paper
DLMP-Net: A Dynamic Yet Lightweight Multi-pyramid Network for Crowd Density Estimation
The current deep neural networks used for crowd density estimation face two main problems. First, due to different surveillance distance from the camera, densely populated regions are characterized by dramatic...
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Chapter and Conference Paper
Correction to: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
Due to a technical error, the original version of the book was published under the Advances in Intelligent Systems and Computing series. The book series has been changed from Advances in Intelligent Systems an...
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Chapter and Conference Paper
Research on Adaptive Segmentation Algorithm of Image Weak Target Based on Pattern Recognition
Based on the comprehensive research of image segmentation technology, an adaptive segmentation algorithm based on pattern recognition for image weak targets is proposed. By systematically designing the image s...
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Chapter and Conference Paper
Attention-Based DSM Fusion Network for Semantic Segmentation of High-Resolution Remote-Sensing Images
For semantic segmentation of high-resolution remote-sensing images, digital surface models (DSMs) information is useful for improving the accuracy and robustness of the segmentation models. However, since the ...
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Chapter and Conference Paper
Adaptive Edge Resource Allocation for Maximizing the Number of Tasks Completed on Time: A Deep Q-Learning Approach
To relieve resource-limited mobile devices from computation-intensive tasks, reduce the transmission latency and mitigate the burden of the backhaul network for the centralized cloud-based network services, mo...
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Article
An improvement to linear regression classification for face recognition
Linear regression classification (LRC) has attracted a great amount of attention owning to its promising performance in face recognition. However, its performance will dramatically decline in the scenario of l...
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Article
Learning multi-temporal-scale deep information for action recognition
Action recognition in video is widely applied in video indexing, intelligent surveillance, multimedia understanding, and other fields. A typical human action contains the spatiotemporal information from variou...
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Article
Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm
Research has demonstrated a significant overlap between sleep issues and other medical conditions. In this paper, we consider mild difficulty in falling asleep (MDFA). Recognition of MDFA has the potential to ...
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Chapter and Conference Paper
Fast Anti-noise Compression Storage Algorithm for Big Data Video Images
When calculating the traditional image compression storage algorithm, the key frames of the video image are mainly extracted by the video image feature. In the process of video image acquisition, the influence...
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Chapter and Conference Paper
Research on Parallel Forecasting Model of Short-Term Power Load Big Data
The parallel prediction model of big data with traditional power load has a low prediction accuracy in different working conditions, so the parallel prediction model of big data for short-term power load is de...
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Article
A New Virtual Samples-Based CRC Method for Face Recognition
The research of automatic face recognition has attracted much attention from many researchers because of human faces’ uniqueness and usability. However, in the real-world applications, the acquisition equipmen...
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Chapter and Conference Paper
Energy Efficient Channel Sharing and Power Optimization for Device-to-Device Networks
In device-to-device (D2D) networks, the system performance can be significantly improved with a well resource allocation scheme. In this paper, the issue of channel sharing and power allocation for device-to-d...
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Chapter and Conference Paper
A Cooperative Route Choice Approach via Virtual Vehicle in Internet of Vehicles
Popular navigation services are used by drivers both to plan out routes and to optimally navigate real time road congestion in internet of vehicles (IoV). However, the navigation system (such as GPS navigation...
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Chapter
A Discussion on the Operational Mechanism of Private Equity in China
This article analyses and makes a research on the financing, investment, management and exit mechanism in the operational process of private equity(PE). In the end, the author puts forward four suggestions inc...
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Chapter
A Lidar Receiver for Speed Measurement Based on Software Radio
Against characteristics of large bandwidth and low SNR belong to the echo signal, and in the application of software radio idea, a wide-band receiver scheme for continuous-wave lidar by combining SW Dual Conve...