Abstract
This paper shows that if one is willing to relax the requirement of finding the true nearest neighbor, it is possible to achieve significant improvements in running time and at only a very small loss in the performance of the vector quantizer. The authors present three algorithms for nearest neighbor searching: standard and priority k-d tree search algorithms and a neighborhood graph search algorithm in which a directed graph is constructed for the point set and edges join neighboring points.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - DCC 1993 |
| Subtitle of host publication | Data Compression Conference |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 381-390 |
| Number of pages | 10 |
| ISBN (Electronic) | 0818633921 |
| DOIs | |
| Publication status | Published - 1993 |
| Externally published | Yes |
| Event | 1993 Data Compression Conference, DCC 1993 - Snowbird, United States Duration: 30 Mar 1993 → 2 Apr 1993 |
Publication series
| Name | Data Compression Conference Proceedings |
|---|---|
| ISSN (Print) | 1068-0314 |
Conference
| Conference | 1993 Data Compression Conference, DCC 1993 |
|---|---|
| Country/Territory | United States |
| City | Snowbird |
| Period | 30/03/93 → 2/04/93 |
Bibliographical note
Publisher Copyright:© 1993 IEEE.