This paper uses Support Vector Machines (SVM) to fuse multiple classifiers for an offline signature system. From the signature images, global and local features are extracted and ...
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
Enabling computer systems to recognize facial expressions and infer emotions from them in real time presents a challenging research topic. In this paper, we present a real time ap...