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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 18 days ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
WWW
2008
ACM
14 years 8 months ago
Topic modeling with network regularization
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai
IPMI
2009
Springer
14 years 2 months ago
A Framework for Brain Registration via Simultaneous Surface and Volume Flow
Abstract. Volumetric registration of brain MR images presents a challenging problem due to the wide variety of sulcal folding patterns. We present a novel volumetric registration m...
Anand A. Joshi, Richard M. Leahy, Arthur W. Toga, ...
3DPVT
2002
IEEE
143views Visualization» more  3DPVT 2002»
14 years 18 days ago
Generation, Visualization, and Editing of 3D Video
3D video is the ultimate image medium recording dynamic visual events in the real world as is. Recorded object behaviors can be observed from any viewpoint, because 3D video recor...
Takashi Matsuyama, Takeshi Takai
IROS
2006
IEEE
162views Robotics» more  IROS 2006»
14 years 1 months ago
Efficiency Improvement in Monte Carlo Localization through Topological Information
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Tae-Bum Kwon, Ju-Ho Yang, Jae-Bok Song, Woojin Chu...