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'''Links''' List of links related to Similarity Search. [[Category:Links]] == Related meetings == * [http://sisap.org International Workshop on Similarity Search and Applications] * [http://knn.gis.umn.edu/2006meeting/proceedings.html 2006 Nearest Neighbors Workshop] and [http://www.aisf.it/NN-workshop/default.htm 2007 Nearest Neighbors Workshop] * Workshop [http://groups.csail.mit.edu/vision/vip/nips03ann/abstracts/ Approximate Nearest Neighbors Methods for Learning and Vision], satellite of NIPS'03. * [http://www-db.deis.unibo.it/IWOSS99/ International Workshop on Similarity Search] (IWOSS'99). == Related materials == Wikipedia articles about: * [http://en.wikipedia.org/wiki/Nearest_neighbor_search NN search], [http://en.wikipedia.org/wiki/K-nearest_neighbor_algorithm NN-based classification], [http://en.wikipedia.org/wiki/Near_Duplicate_Algorithms near-duplicate algorithms], [http://en.wikipedia.org/wiki/content-based_image_retrieval content-based image retrieval], [http://en.wikipedia.org/wiki/Locality_sensitive_hashing locality sensitive hashing], [http://en.wikipedia.org/wiki/Nearest_neighbor_interpolation nearest neighbor interpolation], [http://en.wikipedia.org/wiki/Curse_of_dimensionality curse of dimensionality], [http://en.wikipedia.org/wiki/Voronoi_diagram Voronoi diagram]. * [http://mathworld.wolfram.com/NearestNeighborProblem.html Nearest Neighbor Problem] article at Mathworld and [http://www.scholarpedia.org/article/K-Nearest_Neighbor K Nearest Neighbor] article in Scholarpedia. * MIT [http://people.csail.mit.edu/gregory/annbook/book.html book] about nearest neighbors. * The homepage of [http://www.nmis.isti.cnr.it/amato/similarity-search-book/ Similarity Search] book. * The [http://www.cs.umd.edu/~hjs/multidimensional-book-flyer.pdf flyer] of "Foundations of Multidimensional and Metric Data Structures" book by Hanan Samet. [http://www.cs.umd.edu/~hjs/ Table of contents] and [http://www.amazon.com/review/product/0123694469?ie=UTF8&tag=hompagofhansa-20&linkCode=am2&camp=1789&creative=9325&creativeASIN=0123694469 Amazon page for the book]. == Implementations == * [http://simmachines.com simMachines]: Commercial implementation for large scale queries. * [http://sisap.org/?f=library Metric Spaces Library]: An open-source C-based library for metric space indexing. * [http://www.almaden.ibm.com/u/kclarkson/pubs.html#SB Nearest neighbor searching in metric spaces] - Experimental results and demo by Ken Clarkson. * Implementation of [http://web.mit.edu/andoni/www/LSH/index.html LSH method] by Alex Andoni. * The homepage of [http://www-db.deis.unibo.it/Mtree/main.html M-tree], Java implementation of [http://lsd.fi.muni.cz/trac/mtree/ M-tree]. * The homepage of [http://lsd.fi.muni.cz/trac/d-index/ D-index]. * [http://code.google.com/p/lbimproved/ C++ library] by Daniel Lemire. * [http://donar.umiacs.umd.edu/quadtree/index.html Spatial Index Demos] from University of Maryland. * [http://cs-people.bu.edu/athitsos/nearest-neighbors/ BoostMap method]: project description, implementation and dataset. * [http://www.cs.umd.edu/~mount/ANN/ ANN: A Library for Approximate Nearest Neighbor Searching] by David M. Mount and Sunil Arya * [http://gbdi.icmc.usp.br/arboretum/ Arboretum + MAMViewer]: an open library of metric access methods + a visual tool to explore and analyze metric access methods and similarity queries. By Fabio J. T. Chino, Marcos R. Vieira, Agma J. M. Traina and Caetano Traina Jr. * [http://hunch.net/~jl/projects/cover_tree/cover_tree.html Cover Tree for Nearest Neighbor calculations] by Alina Beygelzimer, Sham Kakade, and John Langford. * [http://cgm.cs.mcgill.ca/%7Esoss/cs644/projects/perrier/Nearest.html Nearest Neighbor Applet] * [http://lsd.fi.muni.cz/trac/messif Metric Similarity Search Implementation Framework] * [http://clips.imag.fr/mrim/georges.quenot/freesoft/ K Nearest Neighbors Linear Scan Baseline] by Georges Qu辿not. * Princeton [http://www.cs.princeton.edu/cass/ Content-Aware Search Systems] project including [http://www.cs.princeton.edu/cass/benchmark/ Corel-Princeton Image Similarity Benchmark]. * [http://www.radwin.org/michael/projects/learning/ Nearest-Neighbor Machine Learning Bakeoff] project by Michael J. Radwin. * [http://www.sapir.eu/ SAPIR project] * [http://www.ifs.tuwien.ac.at/mir/ Music IR] project at TU Wien * [http://escience.anu.edu.au/project/06S1/NNSeacrhHighD.en.html Nearest Neighbour Searching in High-Dimensional Metric Space] master project by David Marchall. Some [http://escience.anu.edu.au/project/06S1/DavidMarshall/ written materials] available. == Other pointers == * [http://www.visionbib.com/bibliography/pattern622.html Bibliography] on NN-based classification from visionbib.com * [http://www.ics.uci.edu/~eppstein/junkyard/nn.html Nearest Neighbors and Voronoi Diagrams] link collection. * [http://people.revoledu.com/kardi/tutorial/KNN/resources.html KNN links] collection * [http://www.cs.sunysb.edu/~algorith/files/nearest-neighbor.shtml Links to implementations] * References on [http://www.cs.ust.hk/~leichen/readings/literaturesovertimeseries.htm Similarity-based Time Series Retrieval].
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