SCOPUS 정보 검색 플랫폼

Volumn , Issue , 2006, Pages 163-200

Automatic classification of pitched musical instrument sounds

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84892212088 PISSN: None EISSN: None Source Type: Book
DOI: 10.1007/0-387-32845-9_6 Document Type: Chapter

Times cited : (47)

References (10)

3
- 84892221845
- Recent techniques such as support vector machines see Chapter 2, however, are less subject to dimensionality concerns. In any case, including misleading features lowers the performance
- Recent techniques such as support vector machines (see Chapter 2), however, are less subject to dimensionality concerns. In any case, including misleading features lowers the performance.

4
- 84892255247
- Random variables and probability density functions are introduced in Chapter 2
- Random variables and probability density functions are introduced in Chapter 2.

5
- 84892203610
- The term 'correlation' was used by Hall in its general sense, without referring specifically to the classical correlation 267, p. 51. However, in his implementation in the free software Weka 674 www.cs.waikato.ac.nz/ml/weka, the author used the classical variance-normalized correlation, removing, however, the mean of the data before calculating the correlation
- The term 'correlation' was used by Hall in its general sense, without referring specifically to the classical correlation [267, p. 51]. However, in his implementation in the free software Weka [674] (www.cs.waikato.ac.nz/ml/ weka), the author used the classical variance-normalized correlation, removing, however, the mean of the data before calculating the correlation.

6
- 84892279989
- See also Chapter 5, p. 137, where the idea of recognizing combinations of sounds directly is discussed from the viewpoint of percussion transcription
- See also Chapter 5, p. 137, where the idea of recognizing combinations of sounds directly is discussed from the viewpoint of percussion transcription.

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.