We present a method to classify images into different categories of pornographic content to create a system for filtering pornographic images from network traffic. Although differ...
In this paper, we present a connectionist approach for detecting and precisely localizing semi-frontal human faces in complex images, making no assumption about the content or the...
Music information processing has become very important due to the ever-growing amount of music data from emerging applications. In this demonstration, we present a novel approach ...
This paper examines how different facets of favorable user behavior drive the success of an online community by using a unique data set with surveys from 1,389 participants from t...
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...