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Suchergebnisse für 'parameters'
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5 Kurse gefunden
Robot mechanisms and user interfaces 2024/2025
Prof. Dr.-Ing. Philipp Beckerle
Vorlesung
IdM-Anmeldung / Studon
... gt;Mechanical components, short overview/repetition of machine elements, Robot mechanisms, Kinematic
parameters
...
Symposium Silicon Carbide as Quantum-Classical Platform - 75th Anniversary of the Chair of Applied Physics 2023
Prof. Dr. Heiko Weber
Kongress
IdM-Anmeldung / Passwort
... graphene and SiC’s point defects, have much more to offer: Due to unrivaled material
parameters
...
Fluid Mechanics 2021/2022
Dr.-Ing. Manuel Münsch
Vorlesung
Studon
... amp;gt;can classify different types of fluid flow phenomena and derive the necessary non-dimensional
parameters
...
Fluid Mechanics 2020/2021
Dr.-Ing. Manuel Münsch
Vorlesung
Studon
... amp;gt;can classify different types of fluid flow phenomena and derive the necessary non-dimensional
parameters
...
Pattern Recognition [PR] 2020/2021
Prof. Dr. Andreas Maier
Vorlesung
Frei
... Finally more complex methods like the Expectation Maximization Algorithm, which is used to estimate the
parameters
...
33 Clips gefunden
52-Beyond the Patterns - Prof. Dr. Xiaochun Lai (Shanghai Tech University) – A Physics-ASIC Architecture-Driven Deep Learning Detector Model Under Limited Data — for X-ray Photon-Counting CT 2021/2022
Frei
universitäre Vorlesung
2024-12-19
... Key advancements include reduced calibration errors, accurate estimation of physics-ASIC
parameters
, ...
0-Livestream - Robot mechanisms and user interfaces 2024/2025
IdM-Anmeldung / Studon
universitäre Vorlesung
2024-10-17
... gt;Mechanical components, short overview/repetition of machine elements, Robot mechanisms, Kinematic
parameters
...
3-Using analytical ultracentrifugation to explore macroionic solutions by determining critical
parameters
2024
Frei
Sonstiges
2024-09-02
3-Jürgen Köhler - Photophysics of Molecular Aggregates - Insights gained from single-object spectroscopy 2023/2024
IdM-Anmeldung / Passwort
Sonstiges
2023-10-31
... moments, and the fluorescence lifetimes of the aggregate are distinctively different from the same
parameters
...
1-Nir Davidson - Simulating XY spins with coupled lasers 2023/2024
IdM-Anmeldung / Passwort
Sonstiges
2023-10-17
... We study the probability to obtain this ground state for various coupling schemes, system
parameters
...
56-NHR PerfLab Seminar 2023-09-05: DGEMM on Integer Tensor Cores 2023
Frei
Seminar
2023-09-05
... inference, fixed-point value computation is commonplace, where the input and output values and the model
parameters
...
8-Daniele Fausti - Quantum spectroscopies for quantum materials 2022/2023
IdM-Anmeldung / Passwort
Sonstiges
2023-02-07
... This makes CQMs very susceptible to external
parameters
such as pressure, doping, magnetic field, and ...
12-ADOP: Approximate Differentiable One-Pixel Point Rendering 2021/2022
Frei
universitäre Vorlesung
2021-11-17
... The input are an initial estimate of the point cloud and the camera
parameters
. ...
8-BRDF-Reconstruction in Photogrammetry Studio Setups 2021/2022
Frei
universitäre Vorlesung
2021-11-13
... simultaneously capture images that are processed by algorithms that automatically estimate the camera
parameters
...
5-Linear regression for time series forecasting 2021/2022
IdM-Anmeldung / Passwort / Studon
Sonstiges
2021-10-26
... <p>A complete example from model definition to
parameters
fitting.</p> ...
1-Fluid Mechanics 2021/2022
Studon
universitäre Vorlesung
2021-10-22
... amp;gt;can classify different types of fluid flow phenomena and derive the necessary non-dimensional
parameters
...
24-Accelerated Forward-Backward Optimization using Deep Learning 2021
Frei
universitäre Vorlesung
2021-07-26
... forward-backward schemes like FISTA, but instead of the classical approach of proving convergence for a choice of
parameters
...
31-Beyond the Patterns - Roger David Soberanis Mukul (TUM): An Uncertainty-based Graph Convolutional Network for Organ Segmentation Refinement 2020/2021
Frei
universitäre Vorlesung
2021-05-18
... Finally, we perform a sensitivity analysis on the
parameters
of our proposal. ...
29-Beyond the Patterns - Fabian Isensee - nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation 2020/2021
Frei
universitäre Vorlesung
2021-05-05
... The key design choices in this process are modeled as a set of fixed
parameters
, interdependent rules ...
5-Pattern Recognition Symposium PRS Winter 20/21 - Mayank Patwari - Limited Parameter Approaches in CT Denoising 2020/2021
IdM-Anmeldung
Sonstiges
2021-03-04
... we introduced a reinforcement learning framework to augment the joint bilateral filter by tuning the
parameters
...
8-Pattern Recognition Symposium PRS Winter 20/21 - Fabian Wagner - Low Dose Mikro CT 2020/2021
IdM-Anmeldung
Sonstiges
2021-03-04
... This tool will be used in the future to optimize acquisition
parameters
and make sure the imaged mouse ...
1-Special Aspects in Bio-Organic Chemistry 2020/2021
Studon
universitäre Vorlesung
2021-01-25
... Coarse-grained and atomistic models</p> <p>Dinucleotides, base pair /base step
parameters
...
2-Special Aspects in Bio-Organic Chemistry 2020/2021
Studon
universitäre Vorlesung
2021-01-25
... <p>ds-DNA</p> <p>Interplay of DNA
parameters
: electrosttic ...
9-Seminar Meta Learning (SemMeL) - Nupur Patel - Meta-Learning with Memory-Augmented Neural Networks 2020/2021
IdM-Anmeldung / Passwort
Sonstiges
2021-01-13
... When new data is encountered, the models must inefficiently relearn their
parameters
to adequately incorporate ...
9-Neuromorphic Computing and its Mathematical Challenges 2020/2021
Frei
universitäre Vorlesung
2021-01-13
... stellar rise of Deep Learning in recent years has produced models numbering millions, if not billions of
parameters
...
3-Seminar Meta Learning (SemMeL) - Benjamin Geissler - Meta-learning symmetries by reparameterization 2020/2021
IdM-Anmeldung
Sonstiges
2020-11-30
... successful deep learning architectures are equivariant to certain transformations in order to conserve
parameters
...
2-Seminar Meta Learning (SemMeL) - Arka Nandi - Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 2020/2021
Frei
Sonstiges
2020-11-16
... In our approach, the
parameters
of the model are explicitly trained such that a small number of gradient ...
12-Pattern Recognition [PR] - PR 9 2020/2021
Frei
universitäre Vorlesung
2020-10-28
... <p>In this video, we learn how to estimate the
parameters
of the logistic function effectively ...
17-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... explore the bias-variance trade-off and look into the effects of training data size and the number of
parameters
...
23-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... ;p>This video discusses the use of validation data and how to choose architectures and hyper
parameters
...
17-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... explore the bias-variance trade-off and look into the effects of training data size and the number of
parameters
...
23-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... ;p>This video discusses the use of validation data and how to choose architectures and hyper
parameters
...
12-Björn Sprungk: Noise-level robust Monte Carlo methods for Bayesian inference with infomative data 2020
Frei
Sonstiges
2020-06-29
... provides a rigorous framework for the incor-poration and quantification of uncertainties in measurements,
parameters
...
17-Deep Learning - Regularization Part 1 2020
Frei
universitäre Vorlesung
2020-05-30
... we explore the bias-variance trade-off and look into the effects of training data size and number of
parameters
...
6-Francis Bach: On the convergence of gradient descent for wide two-layer neural networks 2020
Frei
Sonstiges
2020-05-18
... For prediction models which are linear in their
parameters
, this often leads to convex problems for which ...
23-Deep Learning - Common Practices Part 2 2020
Frei
universitäre Vorlesung
2020-05-16
... ;p>This video discusses the use of validation data and how to choose architectures and hyper
parameters
...
17-Deep Learning - Regularization Part 1 2020
Frei
universitäre Vorlesung
2020-05-07
... we explore the bias-variance trade-off and look into the effects of training data size and number of
parameters
...
1-A Unified Framework for Disease Classification 2010
Frei
Sonstiges
2010-09-29
... Our method estimates the structure specific transformation
parameters
directly from medical scans by ...
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