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MICCAI
2010
Springer
13 years 7 months ago
Detecting Brain Activation in fMRI Using Group Random Walker
Due to the complex noise structure of functional magnetic resonance imaging (fMRI) data, methods that rely on information within a single subject often results in unsatisfactory fu...
Bernard Ng, Ghassan Hamarneh, Rafeef Abugharbieh
ICIP
2003
IEEE
14 years 10 months ago
Gesture segmentation in complex motion sequences
Complex human motion sequences (such as dances) are typically analyzed by segmenting them into shorter motion sequences, called gestures. However, this segmentation process is sub...
Kanav Kahol, Priyamvada Tripathi, Sethuraman Panch...
MVA
2007
175views Computer Vision» more  MVA 2007»
13 years 10 months ago
Noisy Image Segmentation Based on a Level Set Evolution
In this paper, we propose a new hybrid model for active contour image segmentation, which is able to segment non-uniform noisy images efficiently. The model is a combination betwe...
Khaled Issa, Hiroshi Nagahashi
CVBIA
2005
Springer
14 years 2 months ago
Active Contours Under Topology Control Genus Preserving Level Sets
We present a novel framework to exert topology control over a level set evolution. Level set methods offer several advantages over parametric active contours, in particular automat...
Florent Ségonne, Jean-Philippe Pons, W. Eri...
EMNLP
2008
13 years 10 months ago
An Analysis of Active Learning Strategies for Sequence Labeling Tasks
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...
Burr Settles, Mark Craven