Statistical Optimization for Geometric Computation: Theory and Practice

Statistical Optimization for Geometric C

📁 Statistical Optimization for Geometric Computation: Theory and Practice

✍ Kenichi Kanatani 📂 Library 📅 1996 🏛 Elsevier Science Ltd 🌐 English

This book discusses mathematical foundations of statistical inference for building a 3-D model of the environment from image and sensor data that contain noise - a central task for autonomous robots guided by video cameras and sensors. A theoretical accuracy bound is derived for the optimization pro

Statistical Optimization for Geometric C

📁 Statistical Optimization for Geometric Computation: Theory and Practice

✍ Kenichi Kanatani 📂 Library 📅 2005 🏛 Dover Publications 🌐 English

This text discusses the mathematical foundations of statistical inference for building 3-dimensional models from image and sensor data that contain noise - a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure,

Algorithmic advances in Riemannian geome

📁 Algorithmic advances in Riemannian geometry and applications : for machine learning, computer vision, statistics, and optimization

✍ Minh, Ha Quang; Murino, Vittorio 📂 Library 📅 2016 🏛 Springer 🌐 English

This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the geometry of data using

Algorithmic Advances in Riemannian Geome

📁 Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization

✍ Hà Quang Minh; Vittorio Murino 📂 Library 📅 2016 🏛 Springer 🌐 English

This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the geometry of data using

Optimal Resource Allocation: With Practi

📁 Optimal Resource Allocation: With Practical Statistical Applications and Theory

✍ Igor A. Ushakov(eds.) 📂 Library 📅 2013 🏛 Wiley 🌐 English

Optimal Resource Allocation: With Practi

📁 Optimal Resource Allocation: With Practical Statistical Applications and Theory

✍ Igor A. Ushakov 📂 Library 📅 2013 🏛 Wiley 🌐 English

A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATIONOptimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases o