Computational Methods for Deep Learning
Theory, Algorithms, and Implementations
Chapter and Conference Paper
Efficient fruit detection and counting are crucial to improve fruit industrial efficiency and assist the farmers to develop reasonable harvesting strategies in advance while significantly reducing human labors...
Article
Pattern classification has always been essential in computer vision. Transformer paradigm having attention mechanism with global receptive field in computer vision improves the efficiency and effectiveness of ...
Article
Gait-based pedestrian identification has important applications in intelligent surveillance. From anatomical viewpoint, the physical uniqueness of human gait is physiological discriminative of individuals. The...
Chapter and Conference Paper
Blockchain has emerged as a contemporary innovation that ensures secure operations in distributed networks, including decentralized applications, finance, logistics, and cross-border organizational control. In...
Chapter
In this chapter, we start from transfer learning and introduce the relationship between learners. We use ensemble learning to combine them together and hope to get a strong learner from a weak learner by chang...
Chapter
There are a plethora of deep learning platforms available at present. The famous one is MATLAB deep learning toolbox developed by MathWorks which simplifies deep learning computations and reduces the workload ...
Chapter
In this chapter, we will emphasize computational iterations in GANs (i.e., generative adversarial networks) [46] and Siamese nets [3, 6, 15] . In deep learning, these models are named as contrastive networks [3]...
Chapter
In this chapter, we will introduce manifold learning and graph neural networks. We hope to introduce graphical probability models as the starting point of basestone. We need to introduce our readers why we sho...
Book
Chapter
This chapter covers the fundamentals of deep learning, therefore, we present relevant knowledge in chronological order so as to fully introduce the history of deep learning development; meanwhile, we review ho...
Article
Colorectal Cancer (CRC), a leading cause of cancer-related deaths, can be abated by timely polypectomy. Computer-aided classification of polyps helps endoscopists to resect timely without submitting the sample...
Chapter
In this chapter, we will introduce the typical deep neural networks from the viewpoint of Convolutional Neural Network (CNN or ConvNet) family, especially , Single Shot MultiBox Detector (SSD) , and You Only...
Chapter
In this chapter, we introduce fundamental concepts of reinforcement learning [21] such as , , deep Q- , and double Q- . We detail why reinforcement is thought as a method of deep learning.
Chapter
is one of the relatively new methods in deep learning, which has taken topological of a scene into consideration. The output will be a vector to reflect this relationship. Meanwhile, manifold , which is em...
Chapter
In this chapter, we start from transfer learning and introduce the relationship between different learners; we use ensemble learning to combine them together and hope to get a strong learner from a weak learne...
Chapter and Conference Paper
Centralised machine learning brings in side effect pertaining to privacy preservation, most of machine learning methods prone to using the frameworks without privacy protection, as current methods for privacy ...
Chapter and Conference Paper
In this paper, digital images related to five kinds of leaves which are available at New Zealand are collected as our dataset, two deep learning models, namely, Faster R-CNN and YOLOv5, representing two-stage ...
Chapter and Conference Paper
Deep learning models assist us in fruit classification, which allow us to use digital images from cameras to classify a fruit and find its class of ripeness automatically. Apple ripeness classification is a pr...
Chapter and Conference Paper
In challenging lighting conditions, such as haze, rain, and weak lighting condition, the accuracy of traffic sign recognition is not very high due to missed detection or incorrect positioning. In this paper, w...
Chapter and Conference Paper
In this paper, we investigate the state-of-the-art deep learning methods for sign language recognition. In order to achieve this goal, Capsule Network (CapsNet) is proposed in this paper, which shows positive ...