Category
Artificial intelligence
Related lectures (617)
RDF: Syntax and Schema
Explores RDF syntax, schema properties, and classification of resources in the Semantic Web.
Neuro-symbolic Representations: Commonsense Knowledge & Reasoning
Explores neuro-symbolic representations for understanding commonsense knowledge and reasoning, emphasizing the challenges and limitations of deep learning in natural language processing.
Directional Image Analysis: Steerable Filters
Explores directional image analysis and the implementation of steerable filters for edge and ridge detection.
Constraint Satisfaction: Formulation and Algorithms
Covers the formulation of constraint satisfaction problems and systematic algorithms for solving them efficiently.
Image Processing I: Correlation Measures and Matched Filtering
Explores correlation measures, matched filtering, and feature extraction in image processing.
Topology: Polyhedral Products and Edge Detection
Explores topology concepts and edge detection in computer vision, highlighting the significance of contours and gradients in image analysis.
Shape from Shading: Recovering 3D Information from 2D Images
Covers the techniques for recovering 3D shape information from 2D images using shading models and modern deep learning approaches.
Image Processing I: Edge Detection and Texture Analysis
Covers edge detection, texture analysis, Canny's algorithm, filterbanks, and segmentation techniques.
Semantic Web: Modeling and Ontologies
Explores the Semantic Web, database schemas, XML data model, and ontologies.
Metadata Ontologies and Brain AtlasesMOOC: Neuroscience Reconstructed: Cell Biology
Explores metadata standards, the Gene Ontology, and brain atlases in neuroscience.