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ICPR
2002
IEEE
16 years 5 months ago
Shape Representation Using Concavity Graphs
In this paper, a new graph data structure for 2-D shape representation is proposed. The new structure is called a concavity graph, and is an evolution from the already known "...
Ossama El Badawy, Mohamed Kamel
ACCV
2007
Springer
15 years 10 months ago
Human Pose Estimation from Volume Data and Topological Graph Database
This paper proposes a novel volume-based motion capture method using a bottom-up analysis of volume data and an example topology database of the human body. By using a two-step gra...
Hidenori Tanaka, Atsushi Nakazawa, Haruo Takemura
NLDB
2007
Springer
15 years 10 months ago
Incomplete and Fuzzy Conceptual Graphs to Automatically Index Medical Reports
Most of Information Retrieval (IR) systems are still based on bag of word paradigm. This is a strong limitation if one needs high precision answers. For example, in restricted doma...
Loïc Maisonnasse, Jean-Pierre Chevallet, Cath...
ICML
2009
IEEE
16 years 5 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
ICPR
2010
IEEE
15 years 2 months ago
Semi-supervised Graph Learning: Near Strangers or Distant Relatives
In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
Weifu Chen, Guocan Feng