Related lectures (34)
Image Filtering: Basics and TechniquesMOOC: Image Processing and Analysis for Life Scientists
Explores image filtering techniques, including linear and nonlinear filters, for artifact removal and feature enhancement.
Image Processing: Enhancement and Analysis
Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.
Wave Packets and Dispersion
Explores wave packets, dispersion, fast light, and superluminal group speed in optics.
Learning the Kernel: Convex Optimization
Explores learning the kernel function in convex optimization, focusing on predicting outputs using a linear classifier and selecting optimal kernel functions through cross-validation.
Statistical Inference and Machine Learning
Covers statistical inference, machine learning, SVMs for spam classification, email preprocessing, and feature extraction.
Advanced Structure Discovery: Distance Metrics and Time Series Data
Explores clustering algorithms, distance metrics, and time series data analysis techniques.
Signals & Systems I: Uncertainty Relations and Gaussian Impulse
Explores uncertainty relations, Gaussian impulse, pseudo-probability density, and Gabor functions in signals and systems.
Applications of Gauss's law: Electric Field Calculations Simplified
Simplifies electric field calculations using Gauss's law and symmetry arguments.
Kernel Methods: Machine Learning
Covers Kernel Methods in Machine Learning, focusing on overfitting, model selection, cross-validation, regularization, kernel functions, and SVM.
Support Vector Clustering: SVC
Introduces Support Vector Clustering (SVC) using a Gaussian kernel for high-dimensional feature space mapping and explains its constraints and Lagrangian.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.