MIR workshop 2008 notes: Difference between revisions
No edit summary |
|||
| Line 27: | Line 27: | ||
=== 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 17:22, 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.