Parallel And Distributed Pattern Recognition – alle Bücher, Seite 2

Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023)

This book presents 57 selected papers focused on Smart Health Carefrom the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congress on Nature and Biolo…

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Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023)

This book presents 52 selected papers focused on Information Retrieval and Applications from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congre…

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Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023)

This book presents 57 selected papers focused on Real World Applications from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congress on Nature an…

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Kayhan Erciyes
Guide to Graph Algorithms

Texts in Computer Science

This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, approximation a…

lieferbar ab 29.11.2025.

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Elad Hazan, Karan Singh
Introduction to Online Control

This tutorial guide introduces online nonstochastic control, an emerging paradigm in control of dynamical systems and differentiable reinforcement learning that applies techniques from online convex optim…

lieferbar ab 31.12.2025.

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Parteek Bhatia
Machine Learning with Python

"Machine learning (ML) has become a dominant problem-solving technique in the modern world, with applications ranging from search engines and social media to self-driving cars and artificial intellig…

lieferbar ab 30.9.2025.

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Eric W Bridgeford, Alexander R Loftus, Joshua T Vogelstein
Hands-On Network Machine Learning with Python

Bridging theory and practice in network data analysis, this guide offers an intuitive approach to understanding and analyzing complex networks. It covers foundational concepts, practical tools, and real-w…

lieferbar ab 18.9.2025.

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AI in Disease Detection

Comprehensive resource encompassing recent developments, current use cases, and future opportunities for AI in disease detectionAI in Disease Detection discusses the integration of artificial intelligence…

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Mark Richards, Neal Ford
Fundamentals of Software Architecture

Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive…

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Anil Ananthaswamy
Why Machines Learn

Penguin Publishing Group

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us…

lieferbar in mind. 4 Wochen

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Surya Prakash & Piyush Joshi
Visual Quality Assessment and Enhancement for Natural Images

Digital images play a significant role in representing useful information; however, they may get distorted while passing through several operational stages, such as image acquisition, compression, transmi…

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Dongmian Zou Shlomo Dubnov
Lecture Notes in Deep Learning

The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, …

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Dongmian Zou Shlomo Dubnov
Lecture Notes in Deep Learning

The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, …

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Sinan Ozdemir
Quick Start Guide to Large Language Models

The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but …

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Terrence 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 …

lieferbar ab 3.2.2026.

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Explainable AI in Healthcare Imaging for Medical Diagnoses

In an era where Artificial Intelligence (AI) is revolutionizing healthcare, Explainable AI in Healthcare Imaging for Precision Medicine addresses the critical need for transparency, trust, and accountabil…

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Tariq M Arif
Deep Learning on Embedded Systems

Comprehensive, accessible introduction to deep learning for engineering tasks through Python programming, low-cost hardware, and freely available softwareDeep Learning on Embedded Systems is a comprehensi…

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Sana Rao, Rao Kashif
Robust Optical Flow Estimation in Outdoor Environments

In-depth resource on outdoor optical flow estimation, delivering tools needed to enhance performance and reliability of systemsClearing the Vision delivers a robust treatment of optical flow estimation un…

lieferbar ab 9.1.2026.

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Abdussalam Elhanashi, Sergio Saponara
Deep Learning in Action: Image and Video Processing for Practical Use

Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and objec…

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Richard J Tervo
Practical Signals Theory with MATLAB Applications

A hands-on resource designed to teach the mathematics of signals and systems with MATLABIn this newly revised second edition of Practical Signals Theory with MATLAB Applications, Richard Tervo delivers an…

lieferbar ab 12.11.2025.

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