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Efficient convolutional neural networks and network compression methods for object detection: a survey
Object detection is one of the most basic and important research tasks in the field of computer vision. The general trend in object detection has...
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Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization
We design and develop a new high performance implementation of a fast direct LU-based solver using low-rank approximations on massively parallel...
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Enhanced solution to the surface—volume—surface EFIE for arbitrary metal—dielectric composite objects
The surface—volume—surface electric field integral equation (SVS-EFIE) can lead to complex equations, laborious implementation, and unacceptable...
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Application of deep learning algorithms in geotechnical engineering: a short critical review
With the advent of big data era, deep learning (DL) has become an essential research subject in the field of artificial intelligence (AI). DL...
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Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges
Physics-based fluid simulation has played an increasingly important role in the computer graphics community. Recent methods in this area have greatly...
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Dynamic mode decomposition in adaptive mesh refinement and coarsening simulations
Dynamic mode decomposition (DMD) is a powerful data-driven method used to extract spatio-temporal coherent structures that dictate a given dynamical...
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INTELLIGENT MUSICAL INSTRUMENT SOUND CLASSIFICATION
This chapter is devoted to intelligent classification of the sound of musical instruments. Although it is possible, and in some applications...
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Adversarial Defense Mechanisms for Supervised Learning
In this chapter we explore neural network architectures, implementations, cost analysis, and training processes using game theoretical adversarial...
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Engineering applications and technical challenges of active array microsystems
In the post-Moore era, the development of active phased array antennas will inevitably trend towards active array microsystems. In this paper, the...
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Deep Learning
Machine learning techniques have always played an important and often central role in the development of computer vision algorithms.
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Masking Based De Trop Noise Exclusion and Image Inpainting Instance Restoration
Skin cancer has shown a rapidly growing event rate, highlighting skin cancer as a significant issue for general well-being. Impediment due to...
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Leveraging the Christoffel function for outlier detection in data streams
Outlier detection holds significant importance in the realm of data mining, particularly with the growing pervasiveness of data acquisition methods....
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Introduction
This chapter introduces the background knowledge of the book, including the most widely used artificial neural network models and decision trees,...
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Introduction to Deep Learning
This chapter systematically summarizes the principles, methods and applications of deep learning. First, the basic principles such as deep...
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Image Transforms
Image transformation can transform images in image space to some other spaces in different forms. Different transforms change images into different...
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Fingerprint Analysis and Representation
This chapter introduces classical domain knowledge-based and emerging learning-based techniques for feature extraction in fingerprints. Specific...
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Related Knowledge
The research and application of image engineering and other disciplines such as mathematics, physics, physiology, psychology, electronics, computer...
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Related Theories and Techniques
The research methods of image engineering are mutually borrowed from mathematics, physics, physiology, psychology, electronics, computer science, and...
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3D Data Representation, Storage and Processing
In this chapter, we review methods for representing, storing and processing 3D data. We focus in particular on representations for raw 3D data,...
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Reasoning with belief functions
Belief functions are fascinating mathematical objects, but most of all they are useful tools designed to achieve a more natural, proper description...