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» Web ontology segmentation: analysis, classification and use
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CVPR
2008
IEEE
14 years 9 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
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 ...
SEMWEB
2010
Springer
13 years 5 months ago
Using Semantics for Automating the Authentication of Web APIs
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,...
CVPR
2007
IEEE
14 years 9 months ago
Joint Object Segmentation and Behavior Classification in Image Sequences
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...
Laura Gui, Jean-Philippe Thiran, Nikos Paragios
ICPR
2008
IEEE
14 years 8 months ago
Texture segmentation benchmark
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,...
Michal Haindl, Stanislav Mikes
EKAW
2004
Springer
14 years 1 months ago
Managing Patient Record Instances Using DL-Enabled Formal Concept Analysis
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...