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CVPR
2009
IEEE
15 years 3 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...
AIM
2004
13 years 7 months ago
Qualitative Spatial Reasoning Extracting and Reasoning with Spatial Aggregates
Reasoning about spatial data is a key task in many applications, including geographic information systems, meteorological and fluid flow analysis, computer-aided design, and prote...
Christopher Bailey-Kellogg, Feng Zhao
JMLR
2010
137views more  JMLR 2010»
13 years 2 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
ICIP
1998
IEEE
14 years 9 months ago
A Neural Network Approach for Reconstructing Surface Shape from Shading
In this work, a framework for the reconstruction of smooth surface shapes from shading images is presented. The method is based on using a backpropagationbased neural network for ...
Jezekiel Ben-Arie, Dibyendu Nandy
DGCI
2006
Springer
13 years 11 months ago
A Network Flow Algorithm for Binary Image Reconstruction from Few Projections
Tomography deals with the reconstruction of images from their projections. In this paper we focus on tomographic reconstruction of binary images (i.e., black-and-white) that do not...
Kees Joost Batenburg