| Presentation | 2006-06-15 Higher-dimensional Nearest Neighbor Search by Distributed Coding Takao KOBAYASHI, Masaki NAKAGAWA, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper we propose a fast approximate nearest neighbor search algorithm in a high dimensional spherical space using an idea called "distributed coding" which is to represent a vector by a set of many vectors and encode them efficiently. We implemented the algorithm and tested it with synthetic data. The results show that the proposed method exceeds a popular approximate nearest neighbor library, "ANN" in search time and accuracy in the case of higher-dimension and a large number of prototypes. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Approximate Nearest Neighbor / Distributed Coding / k-d tree / Locality Sensitive Hashing |
| Paper # | DE2006-3,PRMU2006-41 |
| Date of Issue |
| Conference Information | |
| Committee | DE |
|---|---|
| Conference Date | 2006/6/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Data Engineering (DE) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Higher-dimensional Nearest Neighbor Search by Distributed Coding |
| Sub Title (in English) | |
| Keyword(1) | Approximate Nearest Neighbor |
| Keyword(2) | Distributed Coding |
| Keyword(3) | k-d tree |
| Keyword(4) | Locality Sensitive Hashing |
| 1st Author's Name | Takao KOBAYASHI |
| 1st Author's Affiliation | 1X Laboratory() |
| 2nd Author's Name | Masaki NAKAGAWA |
| 2nd Author's Affiliation | Graduate School of Technology, Tokyo University of Agriculture and Technology |
| Date | 2006-06-15 |
| Paper # | DE2006-3,PRMU2006-41 |
| Volume (vol) | vol.106 |
| Number (no) | 97 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |