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ICPR
2002
IEEE
15 years 10 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
13 years 1 days ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
ICA3PP
2005
Springer
15 years 3 months ago
Hierarchical Parallel Simulated Annealing and Its Applications
In this paper we propose a new parallelization scheme for Simulated Annealing — Hierarchical Parallel SA (HPSA). This new scheme features coarse-granularity in parallelization, d...
Shiming Xu, Wenguang Chen, Weimin Zheng, Tao Wang,...
ISVC
2009
Springer
15 years 4 months ago
Multi-target and Multi-camera Object Detection with Monte-Carlo Sampling
In this paper, we propose a general-purpose methodology for detecting multiple objects with known visual models from multiple views. The proposed method is based Monte-Carlo sampli...
Giorgio Panin, Sebastian Klose, Alois Knoll
77
Voted
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
15 years 4 months ago
Frame rate object extraction from video sequences with self organizing networks and statistical background detection
— In many computer vision related applications it is necessary to distinguish between the background of an image and the objects that are contained in it. This is a difficult pr...
Thiago C. Bellardi, Dizan Vasquez, Christian Laugi...