We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Human visual perception is able to recognize a wide range of targets under challenging conditions, but has limited throughput. Machine vision and automatic content analytics can p...
Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang J...
This paper presents two classification systems for medical images based on association rule mining. The system we propose consists of: a pre-processing phase, a phase for mining th...
Alexandru Coman, Maria-Luiza Antonie, Osmar R. Za&...
Abstract. Much previous work on image retrieval has used global features such as colour and texture to describe the content of the image. However, these global features are insuffi...