Publications | Max Planck Institute for Intelligent Systems

This thesis extends the use of kernel learning techniques to specific problems of image classification. Kernel learning is a paradigm in the field of machine learning that generalizes the use of inner products to compute similarities between arbitrary objects. In image classification one aims to separate images based on their visual content. We address two important problems that arise in this context: learning with weak label information and combination of heterogeneous data sources. The contributions we report on are not unique to image classification, and apply to a more general class of problems. We study the problem of learning with label ambiguity in the multiple instance learning framework. We discuss several different image classification scenarios that arise in this context and argue that the standard multiple instance learning requires a more detailed disambiguation. Finally we review kernel learning approaches proposed for this problem and derive a more efficient algorithm to solve them. The multiple kernel learning framework is an approach to automatically select kernel parameters. We extend it to its infinite limit and present an algorithm to solve the resulting problem. This result is then applied in two directions. We show how to learn kernels that adapt to the special structure of images. Finally we compare different ways of combining image features for object classification and present significant improvements compared to previous methods.

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2009

ei Gehler, PV. Kernel Learning Approaches for Image Classification Biologische Kybernetik, Universität des Saarlandes, Saarbrücken, Germany, October 2009 (phdthesis)

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Kernel Methods in Computer Vision:Object Localization, Clustering,and Taxonomy Discovery

Blaschko, MB.

Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, March 2009 (phdthesis)

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ei Blaschko, MB. Kernel Methods in Computer Vision:Object Localization, Clustering,and Taxonomy Discovery Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, March 2009 (phdthesis)

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Motor Control and Learning in Table Tennis

Mülling, K.

Eberhard Karls Universität Tübingen, Gerrmany, 2009 (diplomathesis)

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ei Mülling, K. Motor Control and Learning in Table Tennis Eberhard Karls Universität Tübingen, Gerrmany, 2009 (diplomathesis)

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Hierarchical Clustering and Density Estimation Based on k-nearest-neighbor graphs

Drewe, P.

Eberhard Karls Universität Tübingen, Germany, 2009 (diplomathesis)

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ei Drewe, P. Hierarchical Clustering and Density Estimation Based on k-nearest-neighbor graphs Eberhard Karls Universität Tübingen, Germany, 2009 (diplomathesis)

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Learning with Structured Data: Applications to Computer Vision

Nowozin, S.

Technische Universität Berlin, Germany, 2009 (phdthesis)

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ei Nowozin, S. Learning with Structured Data: Applications to Computer Vision Technische Universität Berlin, Germany, 2009 (phdthesis)

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From Differential Equations to Differential Geometry: Aspects of Regularisation in Machine Learning

Steinke, F.

Universität des Saarlandes, Saarbrücken, Germany, 2009 (phdthesis)

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ei Steinke, F. From Differential Equations to Differential Geometry: Aspects of Regularisation in Machine Learning Universität des Saarlandes, Saarbrücken, Germany, 2009 (phdthesis)

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Magnetische L10-FePt Nanostrukturen für höchste Datenspeicherdichten

Breitling, A.

Universität Stuttgart, Stuttgart, 2009 (phdthesis)

mms

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mms Breitling, A. Magnetische L10-FePt Nanostrukturen für höchste Datenspeicherdichten Universität Stuttgart, Stuttgart, 2009 (phdthesis)

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Ab-initio Elliott-Yafet modeling of ultrafast demagnetization after laser irradiation

Illg, C.

Universität Stuttgart, Stuttgart, 2009 (mastersthesis)

mms

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mms Illg, C. Ab-initio Elliott-Yafet modeling of ultrafast demagnetization after laser irradiation Universität Stuttgart, Stuttgart, 2009 (mastersthesis)

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Element specific investigation of the magnetization profile at the CrO2/RuO2 interface

Zafar, K.

Universität Stuttgart, Stuttgart, 2009 (mastersthesis)

mms

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mms Zafar, K. Element specific investigation of the magnetization profile at the CrO2/RuO2 interface Universität Stuttgart, Stuttgart, 2009 (mastersthesis)

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Bayesian Methods for Autonomous Learning Systems (Phd Thesis)

Ting, J.

Department of Computer Science, University of Southern California, Los Angeles, CA, 2009, clmc (phdthesis)

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am Ting, J. Bayesian Methods for Autonomous Learning Systems (Phd Thesis) Department of Computer Science, University of Southern California, Los Angeles, CA, 2009, clmc (phdthesis)

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Magnetic resonant reflectometry on exchange bias systems

Brück, S.

Universität Stuttgart, Stuttgart, 2009 (phdthesis)

mms

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mms Brück, S. Magnetic resonant reflectometry on exchange bias systems Universität Stuttgart, Stuttgart, 2009 (phdthesis)

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In-situ - Untersuchungen zu Interdiffusion und Magnetismus in magnetischen Multilayern

Schmidt, M.

Universität Stuttgart, Stuttgart, 2009 (mastersthesis)

mms

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mms Schmidt, M. In-situ - Untersuchungen zu Interdiffusion und Magnetismus in magnetischen Multilayern Universität Stuttgart, Stuttgart, 2009 (mastersthesis)

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Theorie der elektronischen Zustände in oxidischen magnetischen Materialien

Kostoglou, C.

Universität Stuttgart, Stuttgart, 2009 (phdthesis)

mms

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mms Kostoglou, C. Theorie der elektronischen Zustände in oxidischen magnetischen Materialien Universität Stuttgart, Stuttgart, 2009 (phdthesis)

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Magnetooptische Untersuchungen an Ferromagnet- und Supraleiter-Nanosystemen und deren Hybriden

Treiber, S.

Universität Stuttgart, Stuttgart, 2009 (mastersthesis)

mms

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mms Treiber, S. Magnetooptische Untersuchungen an Ferromagnet- und Supraleiter-Nanosystemen und deren Hybriden Universität Stuttgart, Stuttgart, 2009 (mastersthesis)

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2004

Statistical Learning with Similarity and Dissimilarity Functions

von Luxburg, U.

pages: 1-166, Technische Universität Berlin, Germany, Technische Universität Berlin, Germany, 2004 (phdthesis)

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2004

ei von Luxburg, U. Statistical Learning with Similarity and Dissimilarity Functions pages: 1-166, Technische Universität Berlin, Germany, Technische Universität Berlin, Germany, 2004 (phdthesis)

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Classification and Feature Extraction in Man and Machine

Graf, AAB.

Biologische Kybernetik, University of Tübingen, Germany, 2004, online publication (phdthesis)

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ei Graf, AAB. Classification and Feature Extraction in Man and Machine Biologische Kybernetik, University of Tübingen, Germany, 2004, online publication (phdthesis)

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Investigation of oxide layers in tunnel junctions

Amaladass, E. P.

University of Stuttgart, Stuttgart, 2004 (mastersthesis)

mms

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mms Amaladass, E. P. Investigation of oxide layers in tunnel junctions University of Stuttgart, Stuttgart, 2004 (mastersthesis)

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Untersuchung der Desorptionskinetik von Metallhydriden in Bezug auf technische Anwendungen

von Zeppelin, F.

Universität Stuttgart, Stuttgart, 2004 (phdthesis)

mms

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mms von Zeppelin, F. Untersuchung der Desorptionskinetik von Metallhydriden in Bezug auf technische Anwendungen Universität Stuttgart, Stuttgart, 2004 (phdthesis)

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Towards Tractable Parameter-Free Statistical Learning (Phd Thesis)

D’Souza, A

Department of Computer Science, University of Southern California, Los Angeles, 2004, clmc (phdthesis)

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am D’Souza, A Towards Tractable Parameter-Free Statistical Learning (Phd Thesis) Department of Computer Science, University of Southern California, Los Angeles, 2004, clmc (phdthesis)

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