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» Detection of semantic objects using description graphs
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WIAMIS
2009
IEEE
14 years 2 months ago
Towards fully un-supervised methods for generating object detection classifiers using social data
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini G...
ICPR
2004
IEEE
14 years 8 months ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
BMCBI
2008
173views more  BMCBI 2008»
13 years 7 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
NIPS
2007
13 years 9 months ago
Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing
In this paper we formulate a novel AND/OR graph representation capable of describing the different configurations of deformable articulated objects such as horses. The representa...
Yuanhao Chen, Long Zhu, Chenxi Lin, Alan L. Yuille...
CONCUR
2006
Springer
13 years 11 months ago
Concurrent Rewriting for Graphs with Equivalences
Several applications of graph rewriting systems (notably, some encodings of calculi with name passing) require rules which, besides deleting and generating graph items, are able to...
Paolo Baldan, Fabio Gadducci, Ugo Montanari