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125
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SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 5 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
127
Voted
VMV
2003
181views Visualization» more  VMV 2003»
15 years 5 months ago
2.5D Active Contour for Surface Reconstruction
In this paper, we present a new deformable model — 2.5D Active Contour— that is capable of directly extracting shape geometry from 3D unorganized point cloud datasets. The rec...
Ye Duan, Hong Qin
153
Voted
IAJIT
2007
150views more  IAJIT 2007»
15 years 3 months ago
Fuzzy Active Queue Management for Congestion Control in Wireless Ad-Hoc
: Mobile ad-hoc network is a network without infrastructure where every node has its own protocols and services for powerful cooperation in the network. Every node also has the abi...
Essam Natsheh, Adznan B. Jantan, Sabira Khatun, Su...
128
Voted
PAMI
2002
112views more  PAMI 2002»
15 years 3 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
140
Voted
TMI
2011
154views more  TMI 2011»
14 years 10 months ago
Segmentation of Intra-Retinal Layers From Optical Coherence Tomography Images Using an Active Contour Approach
Abstract—Optical Coherence Tomography (OCT) is a noninvasive, depth-resolved imaging modality that has become a prominent ophthalmic diagnostic technique. We present a semiautoma...
Azadeh Yazdanpanah, Ghassan Hamarneh, Benjamin R. ...