| Presentation | 2012-01-19 Random Space Partitioning for extracting significant locations from GPS data Nobuharu KAMI, Satoshi IKEDA, Teruyuki BABA, Takashi YOSHIKAWA, Hiroyuki MORIKAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We present a fast algorithm for probabilistically extracting significant locations from raw GPS data based on data point density. Extracting significant locations from raw GPS data is the first essential step of algorithms designed for location-aware applications. Most current algorithms compare spatial/temporal variables with given fixed thresholds to extract significant locations. However, the appropriate threshold values are not clearly known in priori, and algorithms with fixed thresholds are inherently error-prone, especially under high noise levels. Moreover, they do not often scale in response to increase in system size since direct distance computation is required. We developed a fast algorithm for selective data point sampling around significant locations based on density information by constructing random histograms using locality-sensitive hashing. Theoretical analysis and evaluations show that significant locations are accurately detected with high scalability. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | GPS / Location-aware applications / Stay locations / Random Histogram / LSH |
| Paper # | USN2011-67 |
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| Committee | USN |
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| Conference Date | 2012/1/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Registration To | Ubiquitous and Sensor Networks(USN) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Random Space Partitioning for extracting significant locations from GPS data |
| Sub Title (in English) | |
| Keyword(1) | GPS |
| Keyword(2) | Location-aware applications |
| Keyword(3) | Stay locations |
| Keyword(4) | Random Histogram |
| Keyword(5) | LSH |
| 1st Author's Name | Nobuharu KAMI |
| 1st Author's Affiliation | System Platforms Research Laboratories, NEC Corporation:RCAST, The University of Tokyo() |
| 2nd Author's Name | Satoshi IKEDA |
| 2nd Author's Affiliation | System Platforms Research Laboratories, NEC Corporation |
| 3rd Author's Name | Teruyuki BABA |
| 3rd Author's Affiliation | System Platforms Research Laboratories, NEC Corporation |
| 4th Author's Name | Takashi YOSHIKAWA |
| 4th Author's Affiliation | System Platforms Research Laboratories, NEC Corporation |
| 5th Author's Name | Hiroyuki MORIKAWA |
| 5th Author's Affiliation | System Platforms Research Laboratories, NEC Corporation |
| Date | 2012-01-19 |
| Paper # | USN2011-67 |
| Volume (vol) | vol.111 |
| Number (no) | 386 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |