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The AI Ultimatum

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Advanced Concepts for Intelligent Vision Systems

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This book constitutes the refereed proceedings of the 19th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2018, held in Poitiers, France, in September 2018.The 52 full papers presented in this volume were carefully reviewed and selected from 91 submissions. They were organized in topical sections named: video analysis; segmentation and classification; remote ... Read more

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This book constitutes the refereed proceedings of the 19th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2018, held in Poitiers, France, in September 2018.The 52 full papers presented in this volume were carefully reviewed and selected from 91 submissions. They were organized in topical sections named: video analysis; segmentation and classification; remote
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Intrapartum Ultrasound

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Series series Springer Nature Proceedings Computer Science
This book constitutes the proceedings of the MICCAI 2025 Grand Challenge on Intrapartum Ultrasound, IUGC 2025, which was held in conjunction with MICCAI 2025, in Daejeon, South Korea, on September 23, 2025.The 9 full papers 1 short paper and presented in this volume were carefully reviewed and selected from 20 submissions.They are grouped into the following topics: Top-performing solutions ... Read more

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Artificial Intelligence in Vision-Based Structural Health Monitoring

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This book provides a comprehensive coverage of the state-of-the-art artificial intelligence (AI) technologies in vision-based structural health monitoring (SHM). In this data explosion epoch, AI-aided SHM and rapid damage assessment after natural hazards have become of great interest in civil and structural engineering, where using machine and deep learning in vision-based SHM brings new research ... Read more

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This book provides a comprehensive coverage of the state-of-the-art artificial intelligence (AI) technologies in vision-based structural health monitoring (SHM). In this data explosion epoch, AI-aided SHM and rapid damage assessment after natural hazards have become of great interest in civil and structural engineering, where using machine and deep learning in vision-based SHM brings new research
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This Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to develop “true consciousness.” It illustrates the critical first step towards reaching “deep learning,” long considered the holy grail for machine learning scientists worldwide. Using the example of the iCub, a humanoid robot which learns to solve 3D mazes, the
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Support Vector Machines and Perceptrons

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Series series Computer Science (R0)
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Explainable and Interpretable Models in Computer Vision and Machine Learning

Edited by Hugo Jair Escalante, Sergio Escalera, Isabelle Guyon, Xavier Baró, Yağmur Güçlütürk, Umut Güçlü, Marcel van Gerven ...

Series series Computer Science (R0)
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their ... Read more

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This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their
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Fitting Splines to a Parametric Function

by Alvin Penner ...

Series series Computer Science (R0)
This Brief investigates the intersections that occur between three different areas of study that normally would not touch each other: ODF, spline theory, and topology.The Least Squares Orthogonal Distance Fitting (ODF) method has become the standard technique used to develop mathematical models of the physical shapes of objects, due to the fact that it produces a fitted result that is invariant ... Read more

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This Brief investigates the intersections that occur between three different areas of study that normally would not touch each other: ODF, spline theory, and topology.The Least Squares Orthogonal Distance Fitting (ODF) method has become the standard technique used to develop mathematical models of the physical shapes of objects, due to the fact that it produces a fitted result that is invariant
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Partitional Clustering via Nonsmooth Optimization

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This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of ... Read more

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This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of
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Computer Vision eBooks

Why Machines Learn

Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees

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Moral Algorithms Navigating the Ethics of AI

Distributed Intelligent Circuits and Systems

Embracing the Singularity: Envisioning the Future of Humanity in a World Led by Benevolent AGI

COVID-19: Causes, Transmission, Diagnosis, and Treatment

Machine Vision Algorithms in Java

Visual Event Detection

Computer Animation and Simulation 2000

Applying Ai And Machine Learning To Solve Nigeria's Unique Challenges

3D Computer Vision

The AI Ultimatum

Advanced Concepts for Intelligent Vision Systems

Intrapartum Ultrasound

Artificial Intelligence in Vision-Based Structural Health Monitoring

Autonomous Robotics and Deep Learning

Support Vector Machines and Perceptrons

Explainable and Interpretable Models in Computer Vision and Machine Learning

Fitting Splines to a Parametric Function

Partitional Clustering via Nonsmooth Optimization