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Mikko Kurimo. Indexing audio documents by using latent semantic analysis and som. In Erkki Oja and Samuel Kaski, editors, Kohonen Maps, pages 363--374. Elsevier, 1999.

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Random projection in dimensionality reduction: Applications.. - Bingham, Mannila (2001)   (9 citations)  (Correct)

....In their approach, the columns of the random projection matrix are assumed strictly orthogonal, but actually this need not be the case, as we shall see in our experiments. Kaski [17, 16] has presented experimental results in using the random mapping in the context of the WEBSOM 1 system. Kurimo [20] applies random projection to the indexing of audio documents, prior to using LSI and SOM. Kleinberg [19] and Indyk and Motwani [14] use random projections in nearest neighbor search in a high dimensional Euclidean space, and also present theoretical insights. Dasgupta [6, 7] has used random ....

M. Kurimo. Indexing audio documents by using latent semantic analysis and SOM. In E. Oja and S. Kaski, editors, Kohonen Maps, pages 363-374. Elsevier, 1999.


Thematic Indexing of Spoken Documents by Using Self-Organizing Maps - Kurimo (2000)   Self-citation (Kurimo)   (Correct)

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Kurimo, M. (1999). Indexing audio documents by using latent semantic analysis and som. In Oja, E. and Kaski, S., editors, Kohonen Maps, pages 363374. Elsevier.


Thematic Indexing of Spoken Documents by Using Self-Organizing Maps - Kurimo (2000)   Self-citation (Kurimo)   (Correct)

....U matrix the colors in the map can optionally show the distribution of a chosen SOM component plain, i.e. how relevant the topics are just for a certain semantic dimension. Other useful distributions to show are the semantic distances from the map units to a certain query, index term or document [Kurimo, 1999]. When the document collection and the map are very big (e.g. a million nodes for a collection of millions of documents [Kohonen et al. 1999] it is not convenient to show the whole map at once. The WEBSOM demo 7 shows an example of how to use several display hierarchies [Honkela et al. ....

Kurimo, M. (1999). Indexing audio documents by using latent semantic analysis and som. In Oja, E. and Kaski, S., editors, Kohonen Maps, pages 363-374. Elsevier. 18 IDIAP{RR 00-05


Latent Semantic Analysis for an Effective Region-Based .. - Souvannavong.. (2004)   (Correct)

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Mikko Kurimo. Indexing audio documents by using latent semantic analysis and som. In Erkki Oja and Samuel Kaski, editors, Kohonen Maps, pages 363--374. Elsevier, 1999.


Latent Semantic Indexing - For Video Content   (Correct)

No context found.

Mikko Kurimo. Indexing audio documents by using latent semantic analysis and som. In Erkki Oja and Samuel Kaski, editors, Kohonen Maps, pages 363-- 374. Elsevier, 1999.


Latent Semantic Indexing for Semantic Content.. - Souvannavong..   (Correct)

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Mikko Kurimo, "Indexing audio documents by using latent semantic analysis and som," in Kohonen Maps, Erkki Oja and Samuel Kaski, Eds., pp. 363--374. Elsevier, 1999.


Improved Video Content Indexing by Multiple Latent.. - Souvannavong..   (Correct)

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Kurimo, M.: Indexing audio documents by using latent semantic analysis and som. In Oja, E., Kaski, S., eds.: Kohonen Maps. Elsevier (1999) 363--374


Improved Video Content Indexing by Multiple Latent.. - Souvannavong.. (2004)   (Correct)

No context found.

Kurimo, M.: Indexing audio documents by using latent semantic analysis and som. In Oja, E., Kaski, S., eds.: Kohonen Maps. Elsevier (1999) 363--374


Latent Semantic Indexing for Semantic Content.. - Souvannavong.. (2004)   (Correct)

No context found.

Mikko Kurimo, "Indexing audio documents by using latent semantic analysis and som," in Kohonen Maps, Erkki Oja and Samuel Kaski, Eds., pp. 363--374. Elsevier, 1999.


Bibliography of Self-Organizing Map (SOM) Papers.. - Merja Oja, Samuel.. (2002)   (Correct)

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Kurimo, M. (1999). Indexing audio documents by using latent semantic analysis and SOM. In Oja, E. and Kaski, S., editors, Kohonen Maps, pages 363--374. Elsevier, Amsterdam.

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