Searching for authors named "Peter Meinicke" – sorted by Relevance.
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Calibration of a "Self-Viewing" Eye-on-Hand Configuration
- Calibration of a "Self-Viewing" Eye-on-Hand Configuration Peter Meinicke and Jianwei Zhang
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Independent Component Analysis with Quantizing Density Estimators
- to an inherent 1 for infinite data Peter Meinicke, Helge Ritter Neuroinformatics Group University Bielefeld
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Resolution-Based Complexity Control for Gaussian Mixture Models
- Resolution-Based Complexity Control for Gaussian Mixture Models Peter Meinicke and Helge Ritter
- Cited by 6 (3 self) – Add To MetaCart
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Meinicke P: Remote homology detection based on oligomer distances
- .1093/bioinformatics/btl376 Remote homology detection based on oligomer distances Thomas Lingner and Peter Meinicke
- Cited by 3 (0 self) – Add To MetaCart
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Local PCA Learning with Resolution-Dependent Mixtures of Gaussians
- LOCAL PCA LEARNING WITH RESOLUTION-DEPENDENT MIXTURES OF GAUSSIANS Peter Meinicke and Helge Ritter
- Cited by 4 (0 self) – Add To MetaCart
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BMC Bioinformatics BioMed Central Methodology article
- for improving predictions of prokaryotic TIS Maike Tech* and Peter Meinicke Open Access Address: Abteilung
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Gradient-based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection
- Pfeifer, and Peter Meinicke Abstract Biological data mining using kernel methods can be improved by a task
- Cited by 3 (3 self) – Add To MetaCart
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Improving Transfer Rates in Brain Computer Interfacing: A Case Study
- Improving Transfer Rates in Brain Computer Interfacing: A Case Study Peter Meinicke, Matthias Kaper
- Cited by 7 (0 self) – Add To MetaCart
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Improving Transfer Rates in Brain Computer
- Improving Transfer Rates in Brain Computer Interfacing: a Case Study Peter Meinicke
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International Journal of Neural Systems c ○ World Scientific Publishing Company EVOLUTIONARY OPTIMIZATION OF SEQUENCE KERNELS FOR DETECTION OF BACTERIAL GENE STARTS
- .glasmachers@(email omitted); PETER MEINICKE Institut für Mikrobiologie und Genetik, Abteilung für Bioinformatik Georg
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