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Artificial intelligence

Related lectures (30)

Understanding Knowledge Graphs MOOC: Simulation Neurocience

Explores the concept of Knowledge Graphs and their role in data integration and semantic understanding, showcasing real-world examples and applications.

Image Filtering: Classic Filters

Explores classic image filters like Moving Average, Gaussian Blur, Sobel filter, and Laplacian operator.

Semantic Modelling: Tabular Data and RDF

Introduces semantic modelling through tabular data and RDF, covering relational databases, schema migration, future-proof schemata, SPARQL querying, and metaknowledge limitations.

Semantic Web: Knowledge Representation

Explores Semantic Web concepts, RDF syntax, and knowledge representation using RDF statements and Schema.org.

Edge and Contour

Covers edge and contour detection in images, including gradient-based methods, Laplacian operator, and more complex methods.

Distributed Information Systems: Overview and Challenges

Covers Distributed Information Systems challenges, including autonomy, heterogeneity, trust evaluation, and privacy protection.

Non-Conceptual Knowledge Systems: Style Transfer and Image Translation

Explores style transfer, image translation, self-supervised learning, video prediction, and image description generation using deep learning techniques.

Image Filtering: Basics and Techniques MOOC: Image Processing and Analysis for Life Scientists

Explores image filtering techniques, including linear and nonlinear filters, for artifact removal and feature enhancement.

Inference Engines: Resolution and Horn Clauses

Covers inference engines based on resolution, Horn clauses, filtering, and unification in artificial intelligence.

Computer Vision Basics: Image Processing and Feature Detection Log in to Mediaspace to watch this video

Covers the basics of computer vision, focusing on image processing techniques and feature detection.

Knowledge Representation: Semantics and Data Structures Log in to Mediaspace to watch this video

Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.

Semantic Web: Ontologies and RDF Modeling Log in to Mediaspace to watch this video

Covers the creation and encoding of ontologies, modeling RDF statements, syntax, and classification.

Geometric Stereo: Depth Recovery Techniques Log in to Mediaspace to watch this video

Discusses geometric stereo principles and depth recovery techniques using stereo vision methods.

Semantic Web: Overview and Tools Log in to Mediaspace to watch this video

Explores the Semantic Web, ontologies, schema mapping, RDF, and knowledge graphs.

Image Processing: Neighborhood Averaging & Gaussian Smoothing Log in to Mediaspace to watch this video

Explores neighborhood averaging, Gaussian smoothing, median filtering, contrast enhancement, and edge detection in image processing.

Shape From Stereo-2 Log in to Mediaspace to watch this video

Explores stereo vision concepts such as occlusions, window size impact, multi-view stereo, dynamic shape reconstruction, and graph-based segmentation.

Semantic Web & Information Extraction Log in to Mediaspace to watch this video

Explores Semantic Web, ontologies, information extraction, key phrases, named entities, and knowledge bases.

Edge Detection: Basics and Techniques Log in to Mediaspace to watch this video

Introduces the basics of edge detection, including measuring contrast, gradient images, Fourier interpretation, Gaussian functions, Canny edge detector, and industrial applications.

Image Processing: Smoothing and Filtering Log in to Mediaspace to watch this video

Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.

Computer Vision: Image Formation and Transformation Log in to Mediaspace to watch this video

Provides an overview of image formation and transformation principles in computer vision.