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- ArticleFebruary 2010
DFS: a file system for virtualized flash storage
This paper presents the design, implementation and evaluation of Direct File System (DFS) for virtualized flash storage. Instead of using traditional layers of abstraction, our layers of abstraction are designed for directly accessing flash memory ...
- research-articleOctober 2008
Modeling LSH for performance tuning
CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge managementPages 669–678https://doi.org/10.1145/1458082.1458172Although Locality-Sensitive Hashing (LSH) is a promising approach to similarity search in high-dimensional spaces, it has not been considered practical partly because its search quality is sensitive to several parameters that are quite data dependent. ...
- ArticleJune 2007
Sizing sketches: a rank-based analysis for similarity search
SIGMETRICS '07: Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systemsPages 157–168https://doi.org/10.1145/1254882.1254900Sketches are compact data structures that can be used to estimate properties of the original data in building large-scale search engines and data analysis systems. Recent theoretical and experimental studies have shown that sketches constructed from ...
Also Published in:
ACM SIGMETRICS Performance Evaluation Review: Volume 35 Issue 1 - ArticleOctober 2006
Efficient filtering with sketches in the ferret toolkit
MIR '06: Proceedings of the 8th ACM international workshop on Multimedia information retrievalPages 279–288https://doi.org/10.1145/1178677.1178715Ferret is a toolkit for building content-based similarity search systems for feature-rich data types such as audio, video, and digital photos.The key component of this toolkit is a content-based similarity search engine for generic, multi-feature object ...
- ArticleApril 2006
Ferret: a toolkit for content-based similarity search of feature-rich data
EuroSys '06: Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006Pages 317–330https://doi.org/10.1145/1217935.1217966Building content-based search tools for feature-rich data has been a challenging problem because feature-rich data such as audio recordings, digital images, and sensor data are inherently noisy and high dimensional. Comparing noisy data requires ...
Also Published in:
ACM SIGOPS Operating Systems Review: Volume 40 Issue 4