Thema Maschinelles Sehen, Bildverstehen – alle Bücher, Seite 2

Fabian Kröger
Vom automatisierten zum autonomen Fahren

Dieses Buch stellt die wichtigsten Meilensteine der Forschung zum automatisierten und autonomen Fahren in den USA, Japan und Europa über fünf Jahrzehnte (1950--2000) vor. Es nutzt Quellen aus der Automobi…

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Hilary Lamb, Joel Levy, Claire Quigley,
SIMPLY. Künstliche Intelligenz

Simply

KI überraschend einfach!Visueller kann Wissen nicht sein: SIMPLY Künstliche Intelligenz ist die perfekte Einführung in die Grundlagen der Artificial Intelligencefür alle, die wenig Zeit haben, aber hungri…

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Tor Lattimore
Bandit Convex Optimisation

This comprehensive reference brings readers to the frontier of research on bandit convex optimization or zeroth-order convex optimization. The focus is on theoretical aspects, with short, self-contained c…

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Liang Lin, Yang Liu
Multimodal Large Models

This book focuses on the new paradigm of artificial intelligence and systematically introduces the key technologies, foundational models, and typical applications of multimodal large models. To make the t…

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Peng Long, Xiaozhou Guo
Generative Adversarial Network

This book comprehensively and systematically introduces the theory of generative adversarial networks and its applications in image and voice processing. This book consists of 12 chapters, of which the fi…

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Yao Ma, Jiliang Tang
Deep Learning on Graphs

A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.

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Eckart Michaelsen,
Chaos und Gestalt

Die Diskussionen zu den Fortschritten in der Informatik drehen sich zurzeit wesentlich um den Begriff Künstliche Intelligenz. Was kann sie leisten? Wie verändert sie unsere Welt? Maschinen, die sehen und …

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Michael Miller
AI Prompt Engineering Absolute Beginner's Guide

Master the art of AI prompting to unlock the full potential of generative AI tools for enhanced creativity and productivityAI Prompt Engineering Absolute Beginner's Guide, by best-selling author Michael M…

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Merve Noyan, Andrés Marafioti, Miquel Farré, Orr Zohar
Vision Language Models

Vision language models (VLMs) combine computer vision and natural language processing to create powerful systems that can interpret, generate, and respond in multimodal contexts. Vision Language Models is…

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Liangrui Peng, Ruijie Yan
Multilingual Text Recognition

Multilingual text recognition is crucial for cross language information acquisition and related applications in the mobile computing era. The core problem is to find efficient representation and decoding …

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Andrew Sabot
Minimizing Data Movement and Parameter Count Across the Machine Learning Stack

Synthesis Lectures on Computer Science

This book provides a focused, research-forward guide to making large AI models efficient in practice and also presents an array of novel techniques to reduce memory footprint, accelerate computation, and …

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Ryoma Sato
Accelerating Deep Neural Networks

Deep learning models are powerful, but are often large, slow, and expensive to run. This book is a practical guide to accelerating and compressing neural networks using proven techniques such as quantizat…

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Terrence J. Sejnowski
The Deep Learning Revolution

How deep learning---from Google Translate to driverless cars to personal cognitive assistants---is changing our lives and transforming every sector of the economy.The deep learning revolution has brought …

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Liyu Shao, Qin Chen, Min He
AI in Banking

Big data and artificial intelligence (AI) cannot remain limited to academic theoretical research. It is crucial to utilize them in practical business scenarios, enabling cutting-edge technology to generat…

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Wei Shen, Chongjie Si, Chen Yang, Yong Yu
Hands-On Computer Vision

.- Part I Introduction to Computer VisionChapter 1 Exploring Computer Vision.- Part II Image ProcessingChapter 2 Convolution.- Chapter 3 Image Filtering.- Chapter 4 Template Matching.- Chapter 5 Edge Dete…

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Jiao Shi, Yu Lei, Maoguo Gong, Nan Zhang
Computational Intelligence for Remote Sensing Image Change Detection

SpringerBriefs in Computer Science

Nowadays, remote sensing systems and technologies have been widely studied and applied in environmental monitoring, land survey, and disaster management. As a pivotal remote sensing task, change detection…

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Bruno Siciliano, Luigi Villani, Giuseppe Oriolo, Alessandro De Luca
Foundations of Robotics

This textbook explores the foundational principles of robotics, focusing on its core pillars: modeling, planning, and control. Balancing mathematical rigor and physical intuition, a coherent formalism is …

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Yue Song, Thomas Anderson Keller, Nicu Sebe, Max Welling
Structured Representation Learning

Synthesis Lectures on Computer Vision

This book introduces approaches to generalize the benefits of equivariant deep learning to a broader set of learned structures through learned homomorphisms. In the field of machine learning, the idea of …

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D. Sundararajan
Digital Image Processing

This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image proces…

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Sven Truderung
Das Turing-Paradoxon

In einer nahen Zukunft scheint der Menschheit endlich das Unmögliche gelungen zu sein: Weltweiter Frieden. Es gibt keine Kriege mehr, keine diplomatischen Eklats, keine Hassrede in den sozialen Medien. Do…

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