Statistical Models of Shape

From Theory to Hands-on Projects - EVERYTHING to Master Data Analytics, Data Science and Machine Learning in 1 Course.

Gain practical experience in R for Data Analysis, Machine Learning and Artificial Intelligence. Become a Data Scientist.

The 120 revised full papers presented together with 3 invited lectures were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on motion detection and tracking, medical imaging, biometrics, colour, curves and surfaces beyond two dimensions, reading characters, words, lines etc., image segmentation, shape, im age registration and matching, signal decomposition and invariants, as well as features and classification.

Learn statistics, inferential tests, supervised & unsupervised learning, data science careers PLUS Python & libraries

Application of Morphometrics and Machine Learning to Genetic Syndrome Classification Using Anatomical Facial Points

Learn statistics, inferential tests, supervised & unsupervised learning, data science careers PLUS Python & libraries

An up-to-date approach to understanding statistical inference
Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas.