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» Extracting moving regions from spatial data
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109
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APVIS
2008
15 years 2 months ago
MobiVis: A Visualization System for Exploring Mobile Data
The widespread use of mobile devices brings opportunities to capture large-scale, continuous information about human behavior. Mobile data has tremendous value, leading to busines...
Zeqian Shen, Kwan-Liu Ma
3DIM
1997
IEEE
15 years 4 months ago
Registration and Integration of Textured 3-D Data
In general, multiple views are required to create a complete 3-D model of an object or of a multi-roomed indoor scene. In this work, we address the problem of merging multiple tex...
Andrew Edie Johnson, Sing Bing Kang
131
Voted
BMCBI
2010
136views more  BMCBI 2010»
15 years 24 days ago
A hub-attachment based method to detect functional modules from confidence-scored protein interactions and expression profiles
Background: Many research results show that the biological systems are composed of functional modules. Members in the same module usually have common functions. This is useful inf...
Chia-Hao Chin, Shu-Hwa Chen, Chin-Wen Ho, Ming-Tat...

Publication
1851views
17 years 1 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
118
Voted
PAMI
2008
161views more  PAMI 2008»
15 years 19 days ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...