In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Mobile vision services have recently been proposed for the support of urban nomadic users. A major issue for the performance of the service - involving indexing into a huge amount...
Katrin Amlacher, Patrick Morris Luley, Gerald Frit...
The classification of proteins based on their structure can play an important role in the deduction or discovery of protein function. However, the relatively low number of solved...
Keith Marsolo, Srinivasan Parthasarathy, Chris H. ...
We present an image-based Simultaneous Localization and Mapping (SLAM) framework with online, appearanceonly loop closing. We adopt a layered approach with metric maps over small ...