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105
Voted
ICPR
2002
IEEE
16 years 3 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 8 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
132
Voted
NLDB
2007
Springer
15 years 8 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...
128
Voted
ICML
2009
IEEE
16 years 3 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...
111
Voted
ICPR
2010
IEEE
15 years 16 days 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