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Computer Vision and Machine Learning for Intelligent Sensing Systems

The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational i...

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Bibliographic Details
Main Author: Tian, Jing
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Human Action Recognition
Tsdf
Fully Connected Neural Network
Hyper-parameter Optimization
Attention Module
Mads Dataset
N/a
Human Segmentation
Big Five Personality Traits
Iot
Deep Learning
Eye Landmark Detection
Euclidean Measure
Emotion-based Recommendation
Simultaneous Wireless Information And Power Transfer
Heuristic Attention
Similarity Measure
Personality Perception
Sensor Noises
Distributed Temperature Sensor
Online Self-calibration
Optical Fiber Sensor
Motion Estimation
Gaze Estimation Based On Feature
Information Technology Industries / Bicssc
Targeted Advertising
Graph Neural Network
Geodesic Measure
Clustering
Cultural Algorithm
Computer Science / Bicssc
Intelligent Sensors
Convolutional Neural Networks
Self-attention
Optical Flow
Perceptual Grouping
Visual Representation Learning
Event-based Camera
5g
Computer Vision
Mobile Edge Computaing
Depth Fusion
Energy Minimization
Fiber Bragg Grating
Human Tracking
Wireless Sensing Network
Synthetic Eye Images
Convolutional Neural Network
Robotics
Voxel Information
Contrast Maximization
Augmented Reality
Self-supervised Learning
Deep Learning Algorithms
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational investigations into sense-making methods, and discusses particular uses of intelligent sensing systems in autonomous driving and virtual reality.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (244 p.)
ISBN:9783036578682
books978-3-0365-7869-9
9783036578699

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