44 results on '"N Schmidt"'
Search Results
2. Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species.
3. An improved analysis of per-sample and per-update clipping in federated learning.
4. Multi-View Self-Supervised Learning For Multivariate Variable-Channel Time Series.
5. Amortized Variational Peak Fitting For Spectroscopic Data.
6. On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data.
7. Angular Central Gaussian and Watson Mixture Models for Assessing Dynamic Functional Brain Connectivity During a Motor Task.
8. Bayesian dropout.
9. Visual Microfossil Identification via Deep Metric Learning.
10. A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators.
11. Peak Detection and Baseline Correction Using a Convolutional Neural Network.
12. Testing group differences in state transition structure of dynamic functional connectivity models.
13. Understanding Mindsets Across Markets, Internationally: A Public-Private Innovation Project for Developing a Tourist Data Analytic Platform.
14. Modeling dynamic functional connectivity using a wishart mixture model.
15. Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures.
16. A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy.
17. Scalable group level probabilistic sparse factor analysis.
18. Completely random measures for modelling block-structured sparse networks.
19. The influence of hyper-parameters in the infinite relational model.
20. Bayesian latent feature modeling for modeling bipartite networks with overlapping groups.
21. Unsupervised segmentation of task activated regions in fMRI.
22. Numerical approximations for speeding up MCMC inference in the infinite relational model.
23. Nonparametric Bayesian clustering of structural whole brain connectivity in full image resolution.
24. Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization.
25. Nonparametric statistical structuring of knowledge systems using binary feature matches.
26. Discovering hierarchical structure in normal relational data.
27. Comparing Structural Brain Connectivity by the Infinite Relational Model.
28. Large scale inference in the Infinite Relational Model: Gibbs sampling is not enough.
29. Analysis of Conceptualization Patterns across Groups of People.
30. Modeling Temporal Evolution and Multiscale Structure in Networks.
31. Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization.
32. Haussdorff and hellinger for colorimetric sensor array classification.
33. Modelling dense relational data.
34. Detecting hierarchical structure in networks.
35. Infinite multiple membership relational modeling for complex networks.
36. Transformation invariant sparse coding.
37. Infinite non-negative matrix factorization.
38. Linearly constrained Bayesian matrix factorization for blind source separation.
39. Probabilistic non-negative tensor factorization using Markov chain Monte Carlo.
40. Function factorization using warped Gaussian processes.
41. Bayesian Non-negative Matrix Factorization.
42. Structured non-negative matrix factorization with sparsity patterns.
43. Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation.
44. Single-channel speech separation using sparse non-negative matrix factorization.
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