When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
This paper analyzes the movements of the human body limbs (hands, feet and head) and center of gravity in order to detect simple actions such as walking, jumping and displacing an...
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...
The goal to produce effective Optical Character Recognition (OCR) methods has lead to the development of a number of algorithms. The purpose of these is to take the hand-written o...