Displaying 497 resources
Syntactic Pattern Recognition
This lecture overviews that has many applications in data analysis. It covers the following topics in detail: Syntactic Pattern Recognition Systems. Preprocessing Techniques. String-Based Models.
Face Detection
This lecture overviews Face Detection that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Face Detection definition: Regression and Classification.
Digital Image Processing
This lecture overviews Digital Image Processing that has many applications in improving image visual quality.
Linear Algebra
This lecture overviews Linear Algebra that has many applications in Machine Learning, Computer Vision and Scientific Computing.
Digital Image Compression
This lecture overviews Digital Image Restoration that has many applications in scientific/medical imaging and in digital photography.
Finite Element Method for Stress Analysis
This lecture overviews Finite Element Method for Stress Analysis that has many applications in Mechanical and Civil engineering, in Material Science and Biomedicine.
Human Visual System
This lecture overviews the Human Visual System that has many applications in understanding image perception and image quality issues. It covers the following topics in detail: Human Visual System (eyes and visual pathway, stereo vision).
NLP and Text Sentiment Analysis
This lecture overviews Natural Language Processing (NLP) and Text Sentiment Analysis that has many applications in Text Analytics, Opinion extraction, Opinion mining, Sentiment mining, Subjectivity analysis.
Immersion in Virtual Reality
This lecture overviews Immersion in Virtual Reality that has many applications in virtual presence and immersion. It covers the following topics in detail: Basic Concepts and Definitions.
Camera Geometry
After a brief introduction to image acquisition and light reflection, the building blocks of modern cameras will be surveyed, along with geometric camera modelling.
Probability Theory
This lecture overviews Probability Theory that has many applications in a multitude of scientific and engineering disciplines, notably in Pattern Recognition and Machine Learning.
Digital Filter Structures
This lecture overviews Digital Filter Structures that has many applications in digital signal processing.