Naoyuki Ichimura A Robust and Efficient Motion Segmentation Based on Orthogonal Projection Matrix of Shape Space. [Citation Graph (0, 0)][DBLP] CVPR, 2000, pp:2446-2452 [Conf]
Naoyuki Ichimura Motion Segmentation based on Factorization Method and Discriminant Criterion. [Citation Graph (0, 0)][DBLP] ICCV, 1999, pp:600-605 [Conf]
Naoyuki Ichimura Motion Segmentation Using Feature Selection and Subspace Method Based on Shape Space. [Citation Graph (0, 0)][DBLP] ICPR, 2000, pp:3858-3864 [Conf]
Naoyuki Ichimura Token Grouping Based on 3D Motion and Feature Selection in Object Tracking. [Citation Graph (0, 0)][DBLP] ICPR, 2000, pp:7130-7136 [Conf]
Naoyuki Ichimura Stochastic Filtering for Motion Trajectory in Image Sequences Using a Monte Carlo Filter with Estimation of Hyper-Parameters. [Citation Graph (0, 0)][DBLP] ICPR (4), 2002, pp:68-73 [Conf]
Naoyuki Ichimura Robust clustering based on a maximum-likelihood method for estimating a suitablenumber of clusters. [Citation Graph (0, 0)][DBLP] Systems and Computers in Japan, 1997, v:28, n:1, pp:10-23 [Journal]