Difference between revisions of "MIR workshop 2008 notes"
From CCRMA Wiki
(→Timing and Segmentation =) |
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=== Genre (genre, artist ID, similarity) === | === Genre (genre, artist ID, similarity) === | ||
=== "Fingerprints" === | === "Fingerprints" === | ||
+ | |||
+ | == Analysis / Decision Making == | ||
+ | == Classification == | ||
+ | === Heuristic Analysis === | ||
+ | === Distance measures (Euclidean, Manhattan, etc.) === | ||
+ | === k-NN === | ||
+ | === SVM / One-class SVM === | ||
+ | == Clustering and probability density models == | ||
+ | === Density distance measures (centroid distance, EMD, KL-divergence, etc) === | ||
+ | === k-Means === | ||
+ | === Clustering === | ||
+ | === GMM === | ||
+ | === HMM === | ||
+ | == Nested classifier / Anchor-space / template-based systems == | ||
+ | |||
+ | == Model / Data Preparation Techniques == |
Revision as of 09:22, 1 August 2008
This page is intended to supplement the lecture material found in the class - providing extra tutorials, support, references for further reading, or demonstration code snippets for those interested in a given topic. Please contribute to this growing list of resources. Do you have a great explanation of how a technique works? Found a great Java applet that illustrates a concept? Discovered a great survey of the field for a particular area? Please add it for the benefit of future students. Thanks!
I encourage you to ADD links and sections - but please do not REMOVE headings or items from the page.