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MICCAI
2006
Springer
14 years 8 months ago
A Landmark-Based Brain Conformal Parametrization with Automatic Landmark Tracking Technique
Abstract. In this paper, we present algorithms to automatically detect and match landmark curves on cortical surfaces to get an optimized brain conformal parametrization. First, we...
Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Th...
RAS
2008
139views more  RAS 2008»
13 years 7 months ago
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
Pablo Espinace, Daniel Langdon, Alvaro Soto
PAMI
2010
337views more  PAMI 2010»
13 years 6 months ago
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
Kwang In Kim, Younghee Kwon
ICCV
2011
IEEE
12 years 7 months ago
Superpixel Tracking
While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large change in scale, motion,...
Shu Wang, Huchuan Lu, Fan Yang, Ming-Hsuan Yang
DEBS
2008
ACM
13 years 9 months ago
Distributed automatic service composition in large-scale systems
Automatic service composition is an active research area in the field of service computing. This paper presents a distributed approach to automatically discover a composition of s...
Songlin Hu, Vinod Muthusamy, Guoli Li, Hans-Arno J...