Agenda
Signal Processing Seminar
- Wednesday, 29 November 2017
- 11:00-12:00
- Lecture Hall H
The Quest for Fast Learning from Few Examples
Andreas LoukasThough the data in our disposal are numerous and diverse, deriving meaning from them is often non trivial. This talk centers on two key challenges of data analysis, relating to the sample complexity (how many examples suffice to learn something with statistical significance) and computational complexity (how long does the computation take) of learning algorithms. In particular, we are going to consider two famous unsupervised algorithms, principal component analysis and spectral clustering, and ask what can they learn when given very few examples or a fraction of the computation time.
Agenda
- Mon, 6 May 2024
- 12:30
- Aula Senaatszaal
PhD Thesis Defence
Christoph Manss
Multi-agent exploration under sparsity constraints
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- 27 -- 28 May 2024
- Aula, TU Delft
Conferences
44th Benelux Symposium on Information Theory and Signal Processing (SITB'24, Delft)
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- Tue, 18 Jun 2024
- 15:00
- Aula Senaatszaal
PhD Thesis Defence
Hanie Moghaddasi
Model-based feature engineering of atrial fibrillation
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- Mon, 24 Jun 2024
- Aula, TU Delft
Conferences
7th Graph Signal Processing Workshop (GSP 2024)
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