Computer Architecture Courses

Computer Vision Classification Techniques - Lecture 11

Explore Support Vector Machines (SVM) for classification, covering maximal-margin classifiers, non-separable cases, and nonlinear SVMs. Learn advantages and disadvantages of linear and nonlinear decision surfaces.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Computer Vision: Classification and Object Recognition - Lecture 11

Explore computer vision classification techniques, including object recognition, image classification, and machine learning frameworks. Learn about nearest neighbor and linear classifiers.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Autoencoder Architecture and Applications - Lecture 10

Explore autoencoders: architecture, comparison, applications in image retrieval, denoising, and anomaly detection. Gain insights into this powerful neural network technique.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Computer Vision Features - Part 2 - Lecture 9

Explore advanced feature detection techniques including corner detection, HOG, and SIFT, focusing on their mathematical foundations and practical applications in computer vision.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Computer Vision: Edge Detection Techniques - Part 1 - Lecture 4

Explore edge detection techniques, including origins, types, and applications. Learn about intensity profiles, noise effects, smoothing solutions, and evaluation methods for effective edge detection.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Linear Algebra Basics for Computer Vision - Lecture 2

Explore essential linear algebra concepts including vectors, matrices, transformations, and SVD, with practical applications in computer vision and machine learning.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Introduction to Computer Vision - Lecture 1

Introduction to computer vision concepts, applications, and recent advancements. Explores visual perception, image types, object recognition, facial analysis, action detection, and video processing techniques.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Computer Vision - Administrative Introduction - Fall 2020

Introduction to computer vision course covering topics, grading, expectations, and projects. Provides essential administrative information for students to succeed in the class.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Capsule Networks for Computer Vision – CVPR 2019 Tutorial

Explore capsule networks for computer vision, covering architecture, challenges, applications, and advancements in this cutting-edge deep learning approach.

• YouTube
• 2 hours 41 minutes
• On-Demand
• Free Video

Introduction to Capsule Networks for Computer Vision

Explore Capsule Networks for computer vision, covering sparse pattern recognition, viewpoint equivariance, object detection, and dynamic routing techniques.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Live Repetition Counting - CNN Architecture and System for Online Motion Detection

Learn techniques for real-time repetition counting in video, including CNN architecture, counter integration, and online mode counting for multiple detectors and regions of interest.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Filtering in Computer Vision - Lecture 2

Learn about image filtering techniques, including noise reduction, derivatives, convolution, and Gaussian filters. Explore practical applications in computer vision using MATLAB.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Interest Point Detection in Computer Vision - Lecture 4

Explore interest point detection techniques, including Harris Corner Detector and auto-correlation, with applications in computer vision and image processing.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Crowd Analysis and Detection Techniques for Computer Vision

Explore advanced techniques in computer vision for crowd analysis, including head detection, motion tracking, and prominent individual identification in complex scenes.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Integrating Close-Range 3D Computer Vision

Explore close-range 3D computer vision and synthetic aperture radar satellite remote sensing integration, covering image processing, point cloud analysis, and compressive sampling techniques.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video