The Document and Pattern Recognition Lab started in Summer 2007. We research pattern recognition and machine learning techniques for extracting and searching information in documents and videos. Our ...

Pattern Recognition: The process of identifying patterns or regularities in data, often using machine learning algorithms. Support Vector Machine (SVM): A supervised machine learning algorithm ...

So, what is machine learning in the first place? And if the machines are so smart, why are they still so dumb? The point of learning is to improve results. For the best results, a model needs to be ...

CATALOG DESCRIPTION: Fundamental and advanced topics in statistical pattern recognition including Bayesian decision theory, Maximum-likelihood and Bayesian estimation, Nonparametric density estimation ...

Sruthi Potru demonstrates that machine learning is not just enhancing data quality management it's fundamentally transforming ...

The BBVA Foundation has granted its Frontiers of Knowledge Award in Information and Communication Technologies to Anil K.