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Publication
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15 years 4 months ago
Maximum Likelihood Active Contours Specialized for Mammography Segmentation
We present a region-based active contour approach to segmenting masses in digital mammograms. The algorithm developed in a Maximum Likelihood approach is based on the calculation o...
Peyman Rahmati, A. Ayatollahi
ICIP
2003
IEEE
16 years 9 months ago
Incorporating complex statistical information in active contour-based image segmentation
We propose an information-theoretic method for multi-phase image segmentation, in an active contour-based framework. Our approach is based on nonparametric density estimates, and ...
Alan S. Willsky, Anthony J. Yezzi, John W. Fisher ...
WWW
2009
ACM
16 years 8 months ago
Advertising keyword generation using active learning
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
Hao Wu, Guang Qiu, Xiaofei He, Yuan Shi, Mingcheng...
QSHINE
2009
IEEE
16 years 2 months ago
Using Sensor Networks to Measure Intensity in Sporting Activities
The deployment of sensor networks is both widespread and varied with more niche applications based on these networks. In the case study provided in this work, the network is provid...
Mark Roantree, Michael Whelan, Jie Shi, Niall Moyn...
ICPR
2008
IEEE
16 years 2 months ago
Active contour algorithm for texture segmentation using a texture feature set
This paper presents a novel algorithm for unsupervised texture segmentation. We incorporate a set of texture features under a segmentation framework, based on the active contour w...
Sandro Vega-Pons, José Luís Gil Rodr...