Monthly Archives: August 2010

Farewell to Kernel Alignment

Bye, Kernel Alignment! You were just a nice theory and a nice set of tools but… you are two class only and performance you give on Bag of Features signatures even don’t come close to pure simple SVM! Rest in … Continue reading

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Kernel Alignment + Regularization

Kernel Alignment is machine learning technique where user built kernel is modified or tuned so that it reflects or matches more the information in ideal kernel. Here ideal kernel may be ground truth, for example. Our data are very high … Continue reading

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Jaunie smaiļuk

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Kernel Alignment : Intersection Kernel

Using Bag of Features signatures for image classification task, we found that using intersection kernel, to use them in kernel approaches like SVM, is at least good choice. First, it is parameter-less, second, performances obtained using this kernel were better … Continue reading

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Kernel Alignment

This is a topic from Machine Learning where some Kernel is “adapted” or “fitted” or “aligned” to ground truth that is available to the user. It may be useful to tune the spectrum of some user-built kernel matrix with respect … Continue reading

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My Flickr Page

Yeah, this is just to make Google index it… http://www.flickr.com/photos/vlad_bordelais/collections/ Attention, there are around 7K photos.. 😛

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Smaiļuk

Aha, viens no šiem ir MC. 😛

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