2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012)
Title | 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012) PDF eBook |
Author | |
Publisher | |
Pages | 695 |
Release | 2012 |
Genre | |
ISBN |
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012
Title | IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012 PDF eBook |
Author | |
Publisher | |
Pages | |
Release | 2012 |
Genre | |
ISBN | 9781467311601 |
IGARSS 2012
Title | IGARSS 2012 PDF eBook |
Author | |
Publisher | |
Pages | |
Release | 2012 |
Genre | |
ISBN |
Special Issue on the IEEE International Geoscience and Remote Sensing Symposium 2012 , IGARSS
Title | Special Issue on the IEEE International Geoscience and Remote Sensing Symposium 2012 , IGARSS PDF eBook |
Author | |
Publisher | |
Pages | 728 |
Release | 2013 |
Genre | |
ISBN |
GNSS Remote Sensing
Title | GNSS Remote Sensing PDF eBook |
Author | Shuanggen Jin |
Publisher | Springer Science & Business Media |
Pages | 286 |
Release | 2013-10-01 |
Genre | Technology & Engineering |
ISBN | 9400774826 |
The versatile and available GNSS signals can detect the Earth’s surface environments as a new, highly precise, continuous, all-weather and near-real-time remote sensing tool. This book presents the theory and methods of GNSS remote sensing as well as its applications in the atmosphere, oceans, land and hydrology. Ground-based atmospheric sensing, space-borne atmospheric sensing, reflectometry, ocean remote sensing, hydrology sensing as well as cryosphere sensing with the GNSS will be discussed per chapter in the book.
Spatial Information Theory
Title | Spatial Information Theory PDF eBook |
Author | Thora Tenbrink |
Publisher | Springer |
Pages | 549 |
Release | 2013-08-20 |
Genre | Computers |
ISBN | 331901790X |
This book constitutes the proceedings of the 11th International Conference on Spatial Information Theory, COSIT 2013, held in Scarborough, UK, in September 2013. The 28 papers presented in this book were carefully reviewed and selected from 62 full paper submissions. The following topics are addressed: spatial change, wayfinding and assistance, representing spatial data, handling language data, spatial language and computation, spatial ontology, spatial reasoning and representation.
Machine Learning for Adaptive Many-Core Machines - A Practical Approach
Title | Machine Learning for Adaptive Many-Core Machines - A Practical Approach PDF eBook |
Author | Noel Lopes |
Publisher | Springer |
Pages | 251 |
Release | 2014-06-28 |
Genre | Technology & Engineering |
ISBN | 3319069381 |
The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise adaptive many-core machines that scale well with the volume of data, or in other words, can handle Big Data. This book gives a concise view on how to extend the applicability of well-known ML algorithms in Graphics Processing Unit (GPU) with data scalability in mind. It presents a series of new techniques to enhance, scale and distribute data in a Big Learning framework. It is not intended to be a comprehensive survey of the state of the art of the whole field of machine learning for Big Data. Its purpose is less ambitious and more practical: to explain and illustrate existing and novel GPU-based ML algorithms, not viewed as a universal solution for the Big Data challenges but rather as part of the answer, which may require the use of different strategies coupled together.