Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that ...
Mike Mintz, Steven Bills, Rion Snow, Daniel Jurafs...
This paper proposes an algorithm for abandoned object detection based on generative model of low level features. First, suspected blobs are detected by foreground detection and pi...
In this paper, we study the problem of fine-grained image categorization. The goal of our method is to explore fine image statistics and identify the discriminative image patche...
Improving coding and spatial pooling for bag-of-words based feature design have gained a lot of attention in recent works addressing object recognition and scene classification. ...
— With the ever-increasing number of digital documents, the ability to automatically classifying those documents both quickly and accurately is becoming more critical and difficu...