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103
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ICIP
2004
IEEE
16 years 4 months ago
Simplified digital holographic reconstruction using statistical methods
For reconstructing a complex object wavefront from digital holograms, we propose a new penalized-likelihood approach based on the measurement statistics and edge-preserving regula...
Jeffrey A. Fessler, Saowapak Sotthivirat
147
Voted
MICCAI
2009
Springer
15 years 9 months ago
Conditional Variability of Statistical Shape Models Based on Surrogate Variables
We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
Rémi Blanc, Mauricio Reyes, Christof Seiler...
148
Voted
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 4 months ago
Semi-supervised Multi-label Learning by Solving a Sylvester Equation
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
151
Voted
CSMR
1998
IEEE
15 years 7 months ago
Assessing Architectural Complexity
While it is widely agreed that architectural simplicity is a key factor to the success of large software systems, it is not obvious how to measure architectural complexity. Our ap...
Rick Kazman, M. Burth
135
Voted
CCECE
2006
IEEE
15 years 8 months ago
Imaging of Electrode Movement and Conductivity Change in Electrical Impedance Tomography
Electrical Impedance Tomography (EIT) applies and measures electrical energy on the boundary of a medium to produce an image of its internal impedance distribution. In many medica...
Camille Gomez-Laberge, Andy Adler