We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
Recent technology developments in the area of services on the Web are marked by the proliferation of Web applications and APIs. The implementation and evolution of applications bas...
Maria Maleshkova, Carlos Pedrinaci, John Domingue,...
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
The Prague texture segmentation data-generator and benchmark is a web based (http://mosaic.utia.cas.cz) service designed to mutually compare and rank different texture segmenters,...
Abstract In this paper we describe a general logic-enabled Formal Concept Analysis (FCA) approach to manage patient record instances. In particular, the conceptual model of the dom...
Bo Hu, Srinandan Dasmahapatra, David Dupplaw, Paul...