Sajjad H. Baloch

Works (2)

Updated: July 5th, 2023 15:55

2007 journal article

Flexible skew-symmetric shape model for shape representation, classification, and sampling

IEEE TRANSACTIONS ON IMAGE PROCESSING, 16(2), 317–328.

By: S. Baloch n & H. Krim n

author keywords: flexible skew-symmetric distributions (FSSM); principal curves; sampling; shape classification; shape modeling; template learning
MeSH headings : Algorithms; Artificial Intelligence; Computer Simulation; Image Enhancement / methods; Image Interpretation, Computer-Assisted / methods; Information Storage and Retrieval / methods; Models, Statistical; Pattern Recognition, Automated / methods; Reproducibility of Results; Sensitivity and Specificity
TL;DR: A novel statistical method for shape modeling, which is sufficiently flexible to accommodate a departure from Gaussianity of the data and is fairly general to learn a "mean shape" (template), with a potential for classification and random generation of new realizations of a given shape. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2004 chapter

Shape representation with flexible skew-symmetric distributions

In Skew-elliptical distibutions and their applications: A journey beyond normality.

By: S. Baloch*, H. Krim* & M. Genton*

Source: NC State University Libraries
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2025) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.