@article{ee6aae6b5ce4416cb81f5e2d93f3bec1,
title = "Localized algorithms for multiple kernel learning",
abstract = "Instead of selecting a single kernel, multiple kernel learning (MKL) uses a weighted sum of kernels where the weight of each kernel is optimized during training. Such methods assign the same weight to a kernel over the whole input space, and we discuss localized multiple kernel learning (LMKL) that is composed of a kernel-based learning algorithm and a parametric gating model to assign local weights to kernel functions. These two components are trained in a coupled manner using a two-step alternating optimization algorithm. Empirical results on benchmark classification and regression data sets validate the applicability of our approach. We see that LMKL achieves higher accuracy compared with canonical MKL on classification problems with different feature representations. LMKL can also identify the relevant parts of images using the gating model as a saliency detector in image recognition problems. In regression tasks, LMKL improves the performance significantly or reduces the model complexity by storing significantly fewer support vectors.",
keywords = "Classification, Multiple kernel learning, Regression, Selective attention, Support vector machines, Support vector regression",
author = "Mehmet G{\"o}nen and Ethem Alpaydin",
note = "Funding Information: This work was supported by the Turkish Academy of Sciences in the framework of the Young Scientist Award Program under EA-T{\"U}BA-GEBİP/2001-1-1 , the Boğazi{\c c}i University Scientific Research Project 07HA101 , and the Scientific and Technological Research Council of Turkey (T{\"U}BİTAK) under Grant EEEAG 107E222 . The work of M. G{\"o}nen was supported by the Ph.D. scholarship (2211) from T{\"U}BİTAK. Funding Information: He did his postdoctoral work at the International Computer Science Institute, Berkeley, in 1991 and afterwards was appointed as Assistant Professor at the Department of Computer Engineering of Boğazi{\c c}i University. He was promoted to Associate Professor in 1996 and Professor in 2002 in the same department. As visiting researcher, he worked at the Department of Brain and Cognitive Sciences of MIT in 1994, the International Computer Science Institute, Berkeley, in 1997 and IDIAP, Switzerland, in 1998. He was awarded a Fulbright Senior scholarship in 1997 and received the Research Excellence Award from the Boğazi{\c c}i University Foundation in 1998 (junior level) and in 2008 (senior level), the Young Scientist Award from the Turkish Academy of Sciences in 2001 and the Scientific Encouragement Award from the Scientific and Technological Research Council of Turkey in 2002. His book Introduction to Machine Learning was published by The MIT Press in October 2004. Its German edition was published in 2008, its Chinese edition in 2009, its second edition in 2010, and its Turkish edition in 2011. He is a senior member of the IEEE, an editorial board member of The Computer Journal (Oxford University Press) and an associate editor of Pattern Recognition (Elsevier).",
year = "2013",
month = mar,
doi = "10.1016/j.patcog.2012.09.002",
language = "English (US)",
volume = "46",
pages = "795--807",
journal = "Pattern Recognition",
issn = "0031-3203",
publisher = "Elsevier Limited",
number = "3",
}