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» Learning the Relative Importance of Features in Image Data
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IJCAI
2007
13 years 10 months ago
Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
Coronary Heart Disease can be diagnosed by measuring and scoring regional motion of the heart wall in ultrasound images of the left ventricle (LV) of the heart. We describe a comp...
Maleeha Qazi, Glenn Fung, Sriram Krishnan, R&oacut...
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 9 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
ICDAR
2011
IEEE
12 years 8 months ago
Subgraph Spotting through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images
—We present a method for spotting a subgraph in a graph repository. Subgraph spotting is a very interesting research problem for various application domains where the use of a re...
Muhammad Muzzamil Luqman, Jean-Yves Ramel, Josep L...
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
14 years 2 months ago
A Comparative Study of Methods for Transductive Transfer Learning
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
ICPR
2004
IEEE
14 years 9 months ago
Feature Subset Selection using ICA for Classifying Emphysema in HRCT Images
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
Mithun Nagendra Prasad, Arcot Sowmya, Inge Koch