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Chapter and Conference Paper
Age Estimation Based on Convolutional Neural Network
In recent years, face recognition technology has become a hot topic in the field of pattern recognition. The human face is one of the most important human biometric characteristics, which contains a lot of imp...
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Chapter and Conference Paper
A Scale Adaptive Tracking Algorithm Based on Kernel Ridge Regression and Fast Fourier Transform
The change of object’s scale is an important reason leading to tracking failure in visual tracking. A scale adaptive tracking algorithm based on kernel ridge regression and Fast Fourier Transform is proposed i...
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Chapter and Conference Paper
Online 3D Shape Segmentation by Blended Learning
This paper presents a novel online 3D shape segmentation framework, which blend two learning methods together: unsupervised clustering based method, and supervised progressive learning method. The features of ...
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Article
Synergy of two mutations based immune multi-objective automatic fuzzy clustering algorithm
In this paper, a synergy of two mutation based immune multi-objective automatic fuzzy clustering algorithm (STMIMAFC) is proposed for the task of automatically evolving the number of clusters as well as a prop...
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Chapter and Conference Paper
The Visual Object Tracking VOT2016 Challenge Results
The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a l...
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Chapter and Conference Paper
Computer English Teaching Based on WeChat
Computer English plays a vital role in academic study for students majored in Computer Science. As the fast development of information technology, traditional English teaching methods cannot meet students’ lea...
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Chapter and Conference Paper
Identifying Scholarly Communities from Unstructured Texts
Scholarly community detection has important applications in various fields. Previous studies have relied heavily on structured scholar networks, which have high computational complexity and are challenging to ...
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Chapter and Conference Paper
A Data Quality Evaluation Index for Data Journals
As a new model of data sharing, data publication requires data to be reviewed and published together with a data descriptor. The peer review process of data publication is very different from that of tradition...
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Article
Carrying capacity and efficiency optimization model for freight train segment train
With economic expansion having moderated to a “new normal” pace, supply structure of goods and competition state of logistics market has undergone major changes. In order to respond to these changes actively, ...
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Article
Bloom-filter-based request node collaboration caching for named data networking
To promote data caching efficiency, caching space utilization, and data content searching speed of the content store (CS) unit in named data networking (NDN) routers, a sum-up Bloom-filter-based request node c...
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Article
Online handwritten signature verification based on association of curvature and torsion feature with Hausdorff distance
The paper presents an efficient on-line signature verification method based on the dynamic features of a given signature. In the proposed approach, curvature and torsion feature are associated with Hausdorff d...
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Article
Related families-based methods for updating reducts under dynamic object sets
Due to rapid growth of data with respect to time, feature selection in dynamic covering decision information systems (DCDISs) is an important research direction of covering rough set theory, and we have not ob...
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Chapter and Conference Paper
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an input image with a magnificatio...
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Chapter and Conference Paper
An Optimization Method for Calibrating Wireline Conveyance Tension
We propose an optimization model to minimize the gap between predicted conveyance tension and measured field data for friction coefficients calibration. This is an oracle optimization problem since the objecti...
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Chapter and Conference Paper
Multispectral Image Denoising by Multi-scale Spatial-spectral Residual Network
Image denoising algorithm has made impressive progress in the last decades. However, most of them can not be directly applied to noisy multispectral images (MSI) because of complex spectral noise patterns whic...
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Chapter and Conference Paper
Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking
Person re-identification is a challenging task aiming to identify the same person across different cameras. However, most of existing image-based person re-identification methods neglect the spatial and tempo...
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Chapter and Conference Paper
E-SGX: Effective Cache Side-Channel Protection for Intel SGX on Untrusted OS
Cache side-channels are among the major weaknesses of Intel SGX. We mitigate this weakness with E-SGX, an effective defensive approach against all known access-driven/trace-driven cache side-channel attacks fr...
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Article
Discovering communities based on mention distance
Scholarly community detection has important applications in various fields. Current studies rely heavily on structured scholar networks, which have high computational complexity and are challenging to construc...
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Article
OCNet: Object Context for Semantic Segmentation
In this paper, we address the semantic segmentation task with a new context aggregation scheme named object context, which focuses on enhancing the role of object information. Motivated by the fact that the categ...
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Article
Six application scenarios of artificial intelligence in the precise diagnosis and treatment of liver cancer
The establishment of the precision diagnosis and treatment system and the advent of the digital intelligence era have not only deepened people's understanding of liver cancer but also continuously improved the...