Lectures related to Pattern recognition

Explores class hierarchies, case classes, enums, pattern matching, and function values in Scala.

Covers class hierarchies, pattern matching, function values, and function calls in Scala.

Covers the basics of machine learning for physicists and chemists, focusing on image classification and dataset labeling.

Problem Solving Strategies: Math Word Problems

Discusses problem-solving strategies for math word problems and engaging activity design.

Artificial Intelligence Fundamentals

Covers artificial intelligence fundamentals, emphasizing practical applications and programming exercises.

Annual Meeting Awards

Announces the winners of annual meeting awards, recognizing outstanding poster and video works, and pitches from the Next Tech program.

Automatic Understanding of the Visual World

Explores machine visual perception, weakly-supervised learning, and future research in intelligent systems.

Thermal Comfort Monitoring: Non-Intrusive Solutions

Presents a framework for non-intrusive thermal comfort monitoring using computer vision and machine learning techniques.

Image Processing II: Bayesian Classification and Decision Making

Explores Bayesian classification, decision making, and pattern recognition applications in image processing.

Unsupervised Learning: Dimensionality Reduction and Clustering

Covers unsupervised learning, focusing on dimensionality reduction and clustering, explaining how it helps find patterns in data without labels.

Understanding Proprioception: Neural Network Models

Explores how neural networks can help understand proprioception and muscle contraction.

Entity & Information Extraction

Explores information extraction using classifiers, features, and syntactic analysis.

When to Use Machine Learning

Explains the conditions for using machine learning in complex problems with patterns in data and access to a dataset.

Brain Intelligence: Continual Learning of Representational Models

Delves into the continual learning of representational models in brain intelligence, emphasizing rapid adaptation to unstructured environments.

Building Usenet: Specifications and Message Format

Explores the history, specifications, and limitations of Usenet, emphasizing message format and broadcast efficiency.

Programming Project: Image Recognition

Explains image recognition in LabVIEW, focusing on reading parameters and recognizing digits.

Gaussian Discriminant Rule: Classification & Boundaries

Explores the Gaussian Discriminant Rule for classification using Gaussian Mixture Models and discusses drawing boundaries and model complexity.

Elastic Membrane Boundary Problem 2D

Covers the elastic membrane boundary problem in 2D, exploring mathematical formulation and solution methods.

Support Vector Machines: Non-Linear Data Mapping

Explores mapping non-linear data to higher dimensions using SVM and covers polynomial feature expansion, regularization, noise implications, and curve-fitting methods.

Self-Organization: Challenges and Applications

Explores the benefits, challenges, and applications of self-organization in various fields.