An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
This paper describes 3D mapping of indoor and outdoor environment using a mobile range scanner. In the raw range data preprocessing stage, we propose to use area decreasing flow ...
Yiyong Sun, Joon Ki Paik, Andreas Koschan, Mongi A...
Percolation has recently been proposed as a key component of an advanced program execution model for future generation high-end machines featuring adaptive data/code transformatio...
Adeline Jacquet, Vincent Janot, Clement Leung, Gua...
The problem of multibody motion segmentation is an important and challenging issue in computer vision. In this paper, a novel segmentation technique based on simulated annealing (...