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» Learning Hierarchical Shape Models from Examples
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LREC
2010
164views Education» more  LREC 2010»
13 years 9 months ago
Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources
The paper presents an innovative approach to extract Slovene definition candidates from domain-specific corpora using morphosyntactic patterns, automatic terminology recognition a...
Darja Fiser, Senja Pollak, Spela Vintar
FSKD
2011
Springer
313views Fuzzy Logic» more  FSKD 2011»
12 years 7 months ago
Robust initialization for reasoning procedures in a hierarchical heterogeneous knowledge-base
—This paper describes a model of a hierarchical, heterogeneous knowledge-base. The proposed model consists of an associative level that is implemented by a Kanerva-like sparse di...
Slobodan Ribaric, Darijan Marcetic, Zongmin Ma
MIAR
2006
IEEE
14 years 1 months ago
A General Learning Framework for Non-rigid Image Registration
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
Guorong Wu, Feihu Qi, Dinggang Shen
CVPR
2004
IEEE
14 years 9 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs
CORR
2010
Springer
178views Education» more  CORR 2010»
13 years 6 months ago
Towards A Shape Analysis for Graph Transformation Systems
Graphs and graph transformation systems are a frequently used modelling technique for a wide range of different domains, covering areas as diverse as refactorings, network topolog...
Dominik Steenken, Heike Wehrheim, Daniel Wonisch