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JGAA
2007
135views more  JGAA 2007»
13 years 9 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento
CVPR
2009
IEEE
15 years 4 months ago
Efficient Planar Graph Cuts with Applications in Computer Vision
We present a fast graph cut algorithm for planar graphs. It is based on the graph theoretical work [2] and leads to an efficient method that we apply on shape matching and im- a...
Daniel Cremers, Eno Töppe, Frank R. Schmidt
ICPR
2002
IEEE
14 years 10 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
14 years 3 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
14 years 3 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...