MKL-RT: Multiple Kernel Learning for Ratio-trace Problems via Convex Optimization

In the recent past, automatic selection or combination of kernels (or features) based on multiple kernel learning (MKL) approaches has been receiving significant attention from various research communities. Though MKL has been extensively studied in the context of support vector machines (SVM), it i...

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Veröffentlicht in:	arXiv.org 2014-10
Hauptverfasser:	Vemulapalli, Raviteja, Vinay Praneeth Boda, Chellappa, Rama
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computational geometry Computer vision Convex analysis Convexity Kernels Optimization Support vector machines
Online-Zugang:	Volltext
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