Book Description
Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.
Author : Yves Lechevallier
Publisher : Springer Science & Business Media
Page : 627 pages
File Size : 44,83 MB
Release : 2010-11-08
Category : Computers
ISBN : 3790826049
Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.
Author :
Publisher :
Page : pages
File Size : 16,19 MB
Release : 2010
Category :
ISBN : 9781283003209
Author : Yves Lechevallier
Publisher : Physica
Page : 621 pages
File Size : 26,76 MB
Release : 2010-11-10
Category : Computers
ISBN : 9783790826036
Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.
Author : Yves Lechevallier
Publisher : Physica
Page : 0 pages
File Size : 41,96 MB
Release : 2010-11-10
Category : Computers
ISBN : 9783790826036
Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.
Author : Yves Lechevallier
Publisher : Springer
Page : 652 pages
File Size : 20,43 MB
Release : 2011-03-30
Category :
ISBN : 9783790826050
Author : Sandeep Kumar
Publisher : Springer Nature
Page : 987 pages
File Size : 37,21 MB
Release : 2022-09-26
Category : Technology & Engineering
ISBN : 9811939519
This book gathers selected papers presented at 4th International Conference on Communication and Computational Technologies (ICCCT 2022), jointly organized by Soft Computing Research Society (SCRS) and Rajasthan Institute of Engineering & Technology (RIET), Jaipur, during February 26–27 2022. The book is a collection of state-of-the art research work in the cutting-edge technologies related to the communication and intelligent systems. The topics covered are algorithms and applications of intelligent systems, informatics and applications, and communication and control systems.
Author : Zhangyang Wang
Publisher : Academic Press
Page : 296 pages
File Size : 38,51 MB
Release : 2019-04-11
Category : Computers
ISBN : 012813660X
Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models—those that emphasize problem-specific Interpretability—with recent deep network models that have enabled a larger learning capacity and better utilization of Big Data. It shows how the toolkit of deep learning is closely tied with the sparse/low rank methods and algorithms, providing a rich variety of theoretical and analytic tools to guide the design and interpretation of deep learning models. The development of the theory and models is supported by a wide variety of applications in computer vision, machine learning, signal processing, and data mining. This book will be highly useful for researchers, graduate students and practitioners working in the fields of computer vision, machine learning, signal processing, optimization and statistics. Combines classical sparse and low-rank models and algorithms with the latest advances in deep learning networks Shows how the structure and algorithms of sparse and low-rank methods improves the performance and interpretability of Deep Learning models Provides tactics on how to build and apply customized deep learning models for various applications
Author : Giuseppe Nicosia
Publisher : Springer Nature
Page : 740 pages
File Size : 15,5 MB
Release : 2021-01-07
Category : Computers
ISBN : 3030645835
This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
Author : Petr Tichavský
Publisher : Springer
Page : 578 pages
File Size : 31,46 MB
Release : 2017-02-13
Category : Computers
ISBN : 3319535471
This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing.
Author : Abhishek Kumar
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 31,88 MB
Release : 2021-01-07
Category : Computers
ISBN : 1119778743
Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.