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» Random Walk Approach to Image Enhancement
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MICCAI
2003
Springer
14 years 8 months ago
Regularization of Diffusion Tensor Maps Using a Non-Gaussian Markov Random Field Approach
Abstract. In this paper we propose a novel non-Gaussian MRF for regularization of tensor fields for fiber tract enhancement. Two entities are considered in the model, namely, the l...
Marcos Martín-Fernández, Carlos Albe...
PERCOM
2009
ACM
14 years 2 months ago
Randomizing RFID Private Authentication
—Privacy protection is increasingly important during authentications in Radio Frequency Identification (RFID) systems. In order to achieve high-speed authentication in largescale...
Qingsong Yao, Yong Qi, Jinsong Han, Jizhong Zhao, ...
CVPR
2010
IEEE
14 years 3 months ago
A Diffusion Approach to Seeded Image Segmentation
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...
Juyong Zhang, Jianmin Zheng, Jianfei Cai
CHI
2009
ACM
14 years 2 months ago
Movable cameras enhance social telepresence in media spaces
Media space is a promising but still immature technology to connect distributed sites. We developed a simple additional function that moved a remote camera forward when a local us...
Hideyuki Nakanishi, Yuki Murakami, Kei Kato
PAMI
2007
196views more  PAMI 2007»
13 years 7 months ago
Clustering and Embedding Using Commute Times
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation a...
Huaijun Qiu, Edwin R. Hancock