Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Project
Support Vector Machines
Support vector machines are a set of algorithms that learn from data by creating models that maximize their margin of error. Support vector machines (SVMs) are a family of algorithms for classification, regression, transduction, novelty detection, and semi-supervised learning. They…
Project
Data Mining
Goal The Knowledge Discovery and Data Mining (KDD) process consists of data selection, data cleaning, data transformation and reduction, mining, interpretation and evaluation, and finally incorporation of the mined “knowledge” with the larger decision making…
Publication
Generic Quantum Block Compression
Publication
A Progressive Scheme for Stereo Matching
Publication