Recent studies have shown that an attacker can retrieve confidential information from cryptographic hardware (e.g. the secret key) by introducing internal faults. A secure and re...
Jimson Mathew, Hafizur Rahaman, Abusaleh M. Jabir,...
In this paper, our objective is to facilitate the creation of novel human poses by synthesizing images. Existing approaches commonly deform one single image, which often results i...
Cedric Vanaken, Chris Hermans, Tom Mertens, Fabian...
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
With the exploding volume of microarray experiments comes increasing interest in mining repositories of such data. Meaningfully combining results from varied experiments on an equ...
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...