loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Author: Andrzej Wichert

Affiliation: INESC-ID/IST and Technical University of Lisboa, Portugal

ISBN: 978-989-8565-10-5

Keyword(s): High Dimensional Indexing, Multi-resolution, Quantization, Vector Data Bases.

Related Ontology Subjects/Areas/Topics: Agents ; Applications of Expert Systems ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Industrial Applications of Artificial Intelligence ; Intelligent Agents ; Internet Technology ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Non-Relational Databases ; Pattern Recognition ; Physiological Computing Systems ; Problem Solving ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods ; Web Information Systems and Technologies

Abstract: We propose a coding mechanism for less costly exact vector retrieval for data bases representing vectors. The search starts at the subspace with the lowest dimension. In this subspace, the set of all possible similar vectors is determined. In the next subspace, additional metric information corresponding to a higher dimension is used to reduce this set. We demonstrate the method performing experiments on image retrieval on one thousand gray images of the size 128×96. Our model is twelve times less complex than a list matching.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.231.228.109

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Wichert, A. (2012). Product Quantization for Vector Retrieval with No Error.In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-10-5, pages 87-92. DOI: 10.5220/0003952800870092

@conference{iceis12,
author={Andrzej Wichert.},
title={Product Quantization for Vector Retrieval with No Error},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2012},
pages={87-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003952800870092},
isbn={978-989-8565-10-5},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Product Quantization for Vector Retrieval with No Error
SN - 978-989-8565-10-5
AU - Wichert, A.
PY - 2012
SP - 87
EP - 92
DO - 10.5220/0003952800870092

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.