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Gig log, using svm-1000 July 2009
Gig log, using svm-1000 July 2009
gig log , svm-1000 www.pioneer.co.uk A short gig log due to the time used up in concentrating on finding the dvd's for the set
From:
ellaskins
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PIONEER SVM-1000 not just an audio mixer
PIONEER SVM-1000 not just an audio mixer
PIONEER SVM-1000 not just an audio mixer ----------------------------www.pioneerdj.eu
From:
ellaskins
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5651
40
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SVM
SVM
SVM
From:
legarconheureux
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23127
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Time:
09:37
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SVM
SVM
SVM
From:
legarconheureux
Views:
7937
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Time:
09:37
More [...]
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Pioneer SVM-1000 Video 1, Like a normal dj mixer?
Pioneer SVM-1000 Video 1, Like a normal dj mixer?
Pioneer SVM-1000 www.djtutor.com In this video I have a basic look at the top of the unit and see how similar it is to a normal dj mixer, at a glance. [...]
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DJmag Review - Pioneer SVM-1000 AV Mixer
DJmag Review - Pioneer SVM-1000 AV Mixer
My, how the world of DJing has changed. We've got our hands on the new four-channel audiovisual club mixer from Pioneer. It's not cheap at £3699, but it's worth every penny. Enjoy.
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This Is™ Sander Kleinenberg on the SVM-1000 at MOS London
This Is™ Sander Kleinenberg on the SVM-1000 at MOS London
Feast your senses on this explosive footage, as an inspired Sander Kleinenberg takes the mix to another level at Ministry of Sound London during his final This Is™ residency gig of 2007. [...]
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Pioneer SVM-1000 - First Look
Pioneer SVM-1000 - First Look
Pioneer's new SVM-1000
From:
andrecato
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62637
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On Sequence Kernels for SVM classification of sets of...
On Sequence Kernels for SVM classification of sets of...
Google Tech Talks April 10, 2007 ABSTRACT Support Vector Machines (SVMs) have become one of the most popular tools for discriminative classification of static data. However, research in SVM classification of dynamic (continuous) [...]
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SVM with polynomial kernel visualization
SVM with polynomial kernel visualization
This short video demonstrates how vectors of two classes that cannot be linearly separated in 2-D space, can become linearly separated by a transformation function into a higher dimensional space. The transformation used is: f([xy]) = [xy [...]
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