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Chapter and Conference Paper
A Multi-working Mode Switching Technique on ARM Teaching Model Machine
The switching of 9 working modes of ARM CPU is one of the difficulties in designing ARM teaching model computer. Based on the independent research and development of ARMv7 architecture teaching model machine, ...
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Article
MRI-based model for MCI conversion using deep zero-shot transfer learning
This study describes a deep zero-shot transfer learning model (DZTLM) for predicting mild cognitive impairment (MCI) in patients with Alzheimer’s disease (AD). The proposed DZTLM combines ResNet and deep subdo...
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Article
Correction to: Radical-based extract and recognition networks for Oracle character recognition
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Article
Radical-based extract and recognition networks for Oracle character recognition
The recognition of Oracle bone inscription (OBI) is one of the most fundamental aspect of OBI study. However, the complex glyph structure and many variants of OBI, which hinder the advancement of automatic rec...
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Chapter and Conference Paper
A Handwritten Text Detection Model Based on Cascade Feature Fusion Network Improved by FCOS
In this paper, we propose a method for detecting handwritten ancient texts. The challenges in detecting this type of data are: the complexity of the layout of handwritten ancient texts, the varying text sizes,...
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Article
The comprehensive evaluation model of power supply capacity for regional-oriented distribution network
With the rapid increase in power loads, power supply capacity plays a significant role in power distribution network. However, attributing to the tremendous differences in regional economic development and div...
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Chapter and Conference Paper
A Noise Robust Batch Mode Semi-supervised and Active Learning Framework for Image Classification
Supervised learning with convolutional neural networks has made a great contribution to computer vision largely due to massive labeled samples. However, it is far from adequate available labeled samples for tr...
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Chapter and Conference Paper
Robust Discriminative Nonnegative Patch Alignment for Occluded Face Recognition
Face occlusion is one of the most challenging problems for robust face recognition. Nonnegative matrix factorization (NMF) has been widely used in local feature extraction for computer vision. However, standar...
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Article
Eye-vergence visual servoing enhancing Lyapunov-stable trackability
Visual servoing methods for hand–eye configuration are vulnerable for hand’s dynamical oscillation, since nonlinear dynamical effects of whole manipulator stand against the stable tracking ability (trackabilit...