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Computer Vision – ECCV 2022
  • Language: en
  • Pages: 804

Computer Vision – ECCV 2022

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Introduction to Combinatorial Optimization
  • Language: en
  • Pages: 407

Introduction to Combinatorial Optimization

Introductory courses in combinatorial optimization are popular at the upper undergraduate/graduate levels in computer science, industrial engineering, and business management/OR, owed to its wide applications in these fields. There are several published textbooks that treat this course and the authors have used many of them in their own teaching experiences. This present text fills a gap and is organized with a stress on methodology and relevant content, providing a step-by-step approach for the student to become proficient in solving combinatorial optimization problems. Applications and problems are considered via recent technology developments including wireless communication, cloud comput...

Computational Science and Its Applications - ICCSA 2005Part II
  • Language: en
  • Pages: 1380

Computational Science and Its Applications - ICCSA 2005Part II

The four-volume set LNCS 3480-3483 constitutes the refereed proceedings of the International Conference on Computational Science and Its Applications, ICCSA 2005, held in Singapore in May 2005. The four volumes present a total of 540 papers selected from around 2700 submissions. The papers span the whole range of computational science, comprising advanced applications in virtually all sciences making use of computational techniques as well as foundations, techniques, and methodologies from computer science and mathematics, such as high performance computing and communication, networking, optimization, information systems and technologies, scientific visualization, graphics, image processing, data analysis, simulation and modelling, software systems, algorithms, security, multimedia etc.

Computational Science and Its Applications - ICCSA 2005
  • Language: en
  • Pages: 1426

Computational Science and Its Applications - ICCSA 2005

  • Type: Book
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  • Published: 2005-05-13
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  • Publisher: Springer

The four volume set assembled following The 2005 International Conference on Computational Science and its Applications, ICCSA 2005, held in Suntec International Convention and Exhibition Centre, Singapore, from 9 May 2005 till 12 May 2005, represents the ?ne collection of 540 refereed papers selected from nearly 2,700 submissions. Computational Science has ?rmly established itself as a vital part of many scienti?c investigations, a?ecting researchers and practitioners in areas ranging from applications such as aerospace and automotive, to emerging technologies such as bioinformatics and nanotechnologies, to core disciplines such as ma- ematics, physics, and chemistry. Due to the shear size ...

Regenerative Medicine Technology
  • Language: en
  • Pages: 459

Regenerative Medicine Technology

  • Type: Book
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  • Published: 2016-11-30
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  • Publisher: CRC Press

Miniaturization in the fields of chemistry and molecular biology has resulted in the "lab-on-a-chip." Such systems are micro-fabricated devices capable of handling extremely small fluid volumes facilitating the scaling of single or multiple lab processes down to a microchip-sized format. The convergence of lab-on-a-chip technology with the field of cell biology facilitated the development of "organ-on-a-chip" systems. Such systems simulate the function of tissues and organs, having the potential to bypass some cell and animal testing methods. These technologies have generated high interest as applications for disease modeling and drug discovery. This book, edited by Drs. Sean Murphy and Anth...

Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip
  • Language: en
  • Pages: 162

Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip

  • Type: Book
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  • Published: 2020-03-17
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  • Publisher: CRC Press

Network on Chip (NoC) addresses the communication requirement of different nodes on System on Chip. The bio-inspired algorithms improve the bandwidth utilization, maximize the throughput and reduce the end-to-end latency and inter-flit arrival time. This book exclusively presents in-depth information regarding bio-inspired algorithms solving real world problems focussing on fault-tolerant algorithms inspired by the biological brain and implemented on NoC. It further documents the bio-inspired algorithms in general and more specifically, in the design of NoC. It gives an exhaustive review and analysis of the NoC architectures developed during the last decade according to various parameters. Key Features: Covers bio-inspired solutions pertaining to Network-on-Chip (NoC) design solving real world examples Includes bio-inspired NoC fault-tolerant algorithms with detail coding examples Lists fault-tolerant algorithms with detailed examples Reviews basic concepts of NoC Discusses NoC architectures developed-to-date

Computing and Combinatorics
  • Language: en
  • Pages: 704

Computing and Combinatorics

  • Type: Book
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  • Published: 2014-07-05
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 20th International Conference on Computing and Combinatorics, COCOON 2014, held in Atlanta, GA, USA, in August 2014. The 51 revised full papers presented were carefully reviewed and selected from 110 submissions. There was a co-organized workshop on computational social networks (CSoNet 2014) where 8 papers were accepted. The papers cover the following topics: sampling and randomized methods; logic, algebra and automata; database and data structures; parameterized complexity and algorithms; computational complexity; computational biology and computational geometry; approximation algorithm; graph theory and algorithms; game theory and cryptography; scheduling algorithms and circuit complexity and CSoNet.

Handbook of Security and Networks
  • Language: en
  • Pages: 574

Handbook of Security and Networks

This valuable handbook is a comprehensive compilation of state-of-art advances on security in computer networks. More than 40 internationally recognized authorities in the field of security and networks contribute articles in their areas of expertise. These international researchers and practitioners are from highly-respected universities, renowned research institutions and IT companies from all over the world. Each self-contained chapter covers one essential research topic on security in computer networks. Through the efforts of all the authors, all chapters are written in a uniformed style; each containing which contains a comprehensive overview, the latest pioneering work and future research direction of a research topic.

Big Data
  • Language: en
  • Pages: 449

Big Data

  • Type: Book
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  • Published: 2016-04-27
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  • Publisher: CRC Press

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi

Visual Domain Adaptation in the Deep Learning Era
  • Language: en
  • Pages: 182

Visual Domain Adaptation in the Deep Learning Era

Solving problems with deep neural networks typically relies on massive amounts of labeled training data to achieve high performance. While in many situations huge volumes of unlabeled data can be and often are generated and available, the cost of acquiring data labels remains high. Transfer learning (TL), and in particular domain adaptation (DA), has emerged as an effective solution to overcome the burden of annotation, exploiting the unlabeled data available from the target domain together with labeled data or pre-trained models from similar, yet different source domains. The aim of this book is to provide an overview of such DA/TL methods applied to computer vision, a field whose popularit...