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» Segmentation Informed by Manifold Learning
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TMI
2010
172views more  TMI 2010»
13 years 6 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
CVPR
2005
IEEE
14 years 9 months ago
Space-Time Behavior Based Correlation
We introduce a behavior-based similarity measure which tells us whether two different space-time intensity patterns of two different video segments could have resulted from a simi...
Eli Shechtman, Michal Irani
PAMI
2006
243views more  PAMI 2006»
13 years 7 months ago
Dynamical Statistical Shape Priors for Level Set-Based Tracking
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
Daniel Cremers
CVPR
2009
IEEE
15 years 2 months ago
Recognition using Regions
This paper presents a unified framework for object detection, segmentation, and classification using regions. Region features are appealing in this context because: (1) they enco...
Chunhui Gu, Joseph J. Lim, Pablo Arbelaez, Jitendr...
MIR
2003
ACM
178views Multimedia» more  MIR 2003»
14 years 24 days ago
A bootstrapping approach to annotating large image collection
Huge amount of manual efforts are required to annotate large image/video archives with text annotations. Several recent works attempted to automate this task by employing supervis...
HuaMin Feng, Tat-Seng Chua