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Department: Any ÅAU / Department of Information Technologies UTU / Department of Information Technology UTU / Department of Mathematics and Statistics UTU / Turku School of Economics, Institute of Information Systems Sciences

Research Unit: Any Algorithmics and Computational Intelligence Group (ACI) Biomathematics Research Unit (BIOMATH) Communication Systems (ComSys) Computational Biomodeling Laboratory (Combio Lab) Data Mining and Knowledge Management Laboratory Distributed Systems Laboratory (DS Lab) Embedded Computer and Electronic Systems (ECES) Embedded Systems Laboratory (ESLAB) FUNDIM, Fundamentals of Computing and Discrete Mathematics Institute for Advanced Management Systems Research (IAMSR) Learning and Reasoning Lab Software Construction Laboratorium Software Development Laboratory (SwDev) Software Engineering Laboratory (SE Lab) Turku BioNLP Group Turku Optimization Group (TOpGroup) UTU Information Systems Science (ISS)

Publication type: Any Monographs Edited books Edited special issues of journals Edited proceedings Articles in journals Articles in proceedings Chapters in edited books Ph.D. thesis Lic. thesis Technical reports

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Articles in journals (5):

• Seppo Pulkkinen, Nonlinear Kernel Density Principal Component Analysis with Application to Climate Data. Statistics and Computing 26(1), 471–492, 2016.
• Seppo Pulkkinen, Ridge-Based Method for Finding Curvilinear Structures from Noisy Data. Computational Statistics and Data Analysis 82, 89–109, 2015.
• Seppo Pulkkinen, Finding Graph Embeddings by Incremental Low-Rank Semidefinite Programming. Optimization Methods and Software 30(5), 1050–1076, 2015.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, A Generative Model and a Generalized Trust Region Newton Method for Noise Reduction. Computational Optimization and Applications 57(1), 129–165, 2014.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, A Continuation Approach to Mode-Finding of Multivariate Gaussian Mixtures and Kernel Density Estimates. Journal of Global Optimization 56(2), 459–487, 2013.

Ph.D. thesis (1):

• Seppo Pulkkinen, Efficient Optimization Algorithms for Nonlinear Data Analysis. TUCS Dissertations 189. University of Turku, 2014.

Technical reports (6):

• Seppo Pulkkinen, Incremental Low-Rank SDP Approach to Finding Graph Embeddings. TUCS Technical Reports 1069, TUCS, 2013.
• Seppo Pulkkinen, Ridge Curve Approach to Extraction of Curvilinear Structures from Noisy Data. TUCS Technical Reports 1082, TUCS, 2013.
• Seppo Pulkkinen, A Probabilistic Approach to Nonlinear Principal Component Analysis With Applications. TUCS Technical Reports 1091, TUCS, 2013.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, Integral Transformation for Box-Constrained Global Optimization of Decomposable Functions. TUCS Technical Reports 1036, Turku Centre for Computer Science, 2012.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, A Generalized Trust Region Newton Method Applied to Noise Reduction. TUCS Technical Reports 1061, TUCS, 2012.
• Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa, A Continuation Approach to Global Minimization of Gaussian RBF Models. TUCS Technical Reports 998, Turku Centre for Computer Science, 2011.