Institute Homepage
EN
Sign In
Forschung
Forschung
Forschung
Übersicht
Publikationen
Abteilungen
Empirische Inferenz
Haptische Intelligenz
Perzeptive Systeme
Physische Intelligenz
Robotik-Materialien
Soziale Grundlagen der Informatik
Forschungsgruppen
Algorithms and Society
Biomimetic Materials and Machines
Deep Models and Optimization
Human Aspects of Machine Learning
Learning and Dynamical Systems
Organizational Leadership and Diversity
Robotic Composites and Compositions
Robust Machine Learning
Safety- and Efficiency-Aligned Learning
Über uns
Über uns
Personen
Wissenschaft
Personenverzeichnis
Alumni-Netzwerk
Kontakt
Management
Kontakt
Anreise
Our Institute
Unser Institut
Campus-Überblick
Campuseinrichtungen
Code of Conduct
Anlaufstellen für Institutsangehörige
Unsere Geschichte
100/10-jähriges Jubiläum
Karriere
Karriere
Stellenangebote
Stellenangebote
Offene Stellen
Überblick über Promotionsprogramme
Doctoral Programs Overview
International Max Planck Research School for Intelligent Systems
Max Planck ETH Center for Learning Systems
ELLIS PhD Program
Karriere
Praktika
Planck Academy
Service
Service
Service-Einrichtungen
Unsere Services
Verwaltung
Scientific Coordination Office
IT Services
Welcome Service
Zentrale Wissenschaftliche Einrichtungen
Überblick
Materials
Medical Systems
Optics and Sensing Laboratory
Robotics
Scientific Computing
Software Workshop
Werkstätten
Workshop Overview
Fine Mechanical Workshop
Glass Workshop
Central Mechanical Workshop
Mechatronics Workshop
Campus Services
Campuseinrichtungen
Bibliothek
Max Planck House Tübingen
Impact
Impact
Impact
Unser Impact
Diversität
Nachhaltigkeit
Entrepreneurship & Innovation
Kooperationen
Unsere Partner
Promotionsprogramme
Initiativen und Partner
Cyber Valley
European Laboratory for Learning and Intelligent Systems
ELLIS Institute Tübingen
Tübingen AI Center
Personen
Aktuelles
Events
Forschung
Forschung
Forschung
Übersicht
Publikationen
Abteilungen
Empirische Inferenz
Haptische Intelligenz
Perzeptive Systeme
Physische Intelligenz
Robotik-Materialien
Soziale Grundlagen der Informatik
Forschungsgruppen
Algorithms and Society
Biomimetic Materials and Machines
Deep Models and Optimization
Human Aspects of Machine Learning
Learning and Dynamical Systems
Organizational Leadership and Diversity
Robotic Composites and Compositions
Robust Machine Learning
Safety- and Efficiency-Aligned Learning
Über uns
Über uns
Personen
Wissenschaft
Personenverzeichnis
Alumni-Netzwerk
Kontakt
Management
Kontakt
Anreise
Our Institute
Unser Institut
Campus-Überblick
Campuseinrichtungen
Code of Conduct
Anlaufstellen für Institutsangehörige
Unsere Geschichte
100/10-jähriges Jubiläum
Karriere
Karriere
Stellenangebote
Stellenangebote
Offene Stellen
Überblick über Promotionsprogramme
Doctoral Programs Overview
International Max Planck Research School for Intelligent Systems
Max Planck ETH Center for Learning Systems
ELLIS PhD Program
Karriere
Praktika
Planck Academy
Service
Service
Service-Einrichtungen
Unsere Services
Verwaltung
Scientific Coordination Office
IT Services
Welcome Service
Zentrale Wissenschaftliche Einrichtungen
Überblick
Materials
Medical Systems
Optics and Sensing Laboratory
Robotics
Scientific Computing
Software Workshop
Werkstätten
Workshop Overview
Fine Mechanical Workshop
Glass Workshop
Central Mechanical Workshop
Mechatronics Workshop
Campus Services
Campuseinrichtungen
Bibliothek
Max Planck House Tübingen
Impact
Impact
Impact
Unser Impact
Diversität
Nachhaltigkeit
Entrepreneurship & Innovation
Kooperationen
Unsere Partner
Promotionsprogramme
Initiativen und Partner
Cyber Valley
European Laboratory for Learning and Intelligent Systems
ELLIS Institute Tübingen
Tübingen AI Center
Personen
Aktuelles
Events
Back
Matthias Hein
Note
: Matthias Hein has transitioned from the institute (Alumni).
Empirische Inferenz
Research Scientist
Alumni
hein@cs.uni-sb.de
Publications
Empirical Inference
Technical Report
Energy Functionals for Manifold-valued Mappings and Their Properties
Hein, M., Steinke, F., Schölkopf, B.
(167), Max Planck Institute for Biological Cybernetics, Tübingen, January 2008
()
PDF
BibTeX
Empirical Inference
Conference Paper
Cluster Identification in Nearest-Neighbor Graphs
Maier, M., Hein, M., von Luxburg, U.
In
Algorithmic Learning Theory: Proceedings of the 18th International Confererence (ALT 2007)
,
ALT 2007
, :196-210,
(Editors: Hutter, M. , R. A. Servedio, E. Takimoto)
, Springer, Berlin, Germany, 18th International Conference on Algorithmic Learning Theory, October 2007
()
PDF
PDF
DOI
BibTeX
Empirical Inference
Conference Paper
Manifold Denoising
Hein, M., Maier, M.
In
Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference
,
Advances in Neural Information Processing Systems 19
, :561-568,
(Editors: Schölkopf, B. , J. Platt, T. Hofmann)
, MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007
()
PDF
Web
BibTeX
Empirical Inference
Conference Paper
Manifold Denoising as Preprocessing for Finding Natural Representations of Data
Hein, M., Maier, M.
In
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07)
,
AAAI-07
, :1646-1649, AAAI Press, Menlo Park, CA, USA, Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07), July 2007
()
PDF
Web
BibTeX
Empirical Inference
Article
Graph Laplacians and their Convergence on Random Neighborhood Graphs
Hein, M., Audibert, J., von Luxburg, U.
Journal of Machine Learning Research
, 8:1325-1370, June 2007
()
PDF
PDF
BibTeX
Empirical Inference
Technical Report
Cluster Identification in Nearest-Neighbor Graphs
Maier, M., Hein, M., von Luxburg, U.
(163), Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, May 2007
()
PDF
BibTeX
Empirical Inference
Conference Paper
Uniform Convergence of Adaptive Graph-Based Regularization
Hein, M.
In
Learning Theory: 19th Annual Conference on Learning Theory (COLT 2006)
,
COLT 2006
, :50-64,
(Editors: Lugosi, G. , H.-U. Simon)
, Springer, Berlin, Germany, 19th Annual Conference on Learning Theory, September 2006
()
PDF
Web
DOI
BibTeX
Empirical Inference
Ph.D. Thesis
Geometrical aspects of statistical learning theory
Hein, M.
Biologische Kybernetik, Darmstadt, Darmstadt, November 2005
()
PDF
BibTeX
Empirical Inference
Article
Maximal Margin Classification for Metric Spaces
Hein, M., Bousquet, O., Schölkopf, B.
Journal of Computer and System Sciences
, 71(3):333-359, October 2005
()
PDF
PDF
DOI
BibTeX
Empirical Inference
Conference Paper
Hilbertian Metrics and Positive Definite Kernels on Probability Measures
Hein, M., Bousquet, O.
In
Proceedings of AISTATS 2005
,
AISTATS 2005
, :136-143,
(Editors: Cowell, R. , Z. Ghahramani)
, Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics 2005), January 2005
()
PDF
Web
BibTeX
«
1
2
3
»
Diese Website verwendet Cookies, um sicherzustellen, dass Sie die bestmögliche Nutzererfahrung erhalten.
Mehr erfahren
.
Accept