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|e ppiak
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|a Draganić, Niko
|9 34993
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| 245 |
|
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|a Algoritam za odabir pjesama na temelju značajki zvučnog signala i strojnog učenja :
|b diplomski rad /
|c Niko Draganić ; [mentor Kristian Jambrošić].
|
| 246 |
1 |
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|a Algorithm for selecting songs based on properties of sound signals and machine learning
|i Naslov na engleskom:
|
| 260 |
|
|
|a Zagreb,
|b N. Draganić,
|c 2014.
|
| 300 |
|
|
|a 28 str. ;
|c 30 cm +
|e CD-ROM
|
| 520 |
3 |
|
|a Sažetak na hrvatskom: Pokazani su razlozi za odabir ovog zadatka. Potom je
prikazano trenutno stanje u glazbenim mrežnim servisima te algoritmi
koji se koriste. Dane su glavne teorijske smjernice za strukturu algoritma.
Predočena je implementacija algoritma u programskom okruženju Matlab
te na kraju usporedba sa postojećim algoritmima.
|
| 520 |
3 |
|
|a Sažetak na engleskom: The thesis opens with reasons why this theme was
chosen. It continues with a detailed description of today's music industry
services and algorithms behind those services. It then explains the theory
behind the algorithm. Finally, it shows how the algorithm was
implemented in Matlab, and how it compares to other algorithms.
|
| 653 |
|
1 |
|a Algoritam, obrada audio signala, valićna transformacija, stroj s potpornim vektorima, neuronska mreža, Matlab.
|
| 653 |
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1 |
|a Algorithm, digital signal processing, wavelet transform, neural networks, support vector machine, Matlab. 28
|
| 700 |
1 |
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|a Jambrošić, Kristian
|4 ths
|9 18180
|
| 942 |
|
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|c Y
|2 udc
|
| 999 |
|
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|c 45155
|d 45155
|