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» Learning the Relative Importance of Features in Image Data
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ICIP
2001
IEEE
16 years 5 months ago
Higher order autocorrelations for pattern classification
The use of higher-order local autocorrelations as features for pattern recognition has been acknowledged since many years, but their applicability was restricted to relatively low...
Vlad Popovici, Jean-Philippe Thiran
137
Voted
AUSDM
2007
Springer
94views Data Mining» more  AUSDM 2007»
15 years 7 months ago
Classification for accuracy and insight: A weighted sum approach
This research presents a classifier that aims to provide insight into a dataset in addition to achieving classification accuracies comparable to other algorithms. The classifier c...
Anthony Quinn, Andrew Stranieri, John Yearwood
SIGCSE
2004
ACM
101views Education» more  SIGCSE 2004»
15 years 9 months ago
Effective features of algorithm visualizations
Many algorithm visualizations have been created, but little is known about which features are most important to their success. We believe that pedagogically useful visualizations ...
Purvi Saraiya, Clifford A. Shaffer, D. Scott McCri...
111
Voted
MICCAI
2004
Springer
16 years 4 months ago
Simulation Model of Intravascular Ultrasound Images
Abstract. The extraction of quantitative information through Intravascular Ultrasound (IVUS) images is a very important goal for the diagnostic and the therapy in atherosclerotic v...
Misael Dario Rosales Ramírez, Petia Radeva ...
CVIU
2004
152views more  CVIU 2004»
15 years 3 months ago
Detecting image orientation based on low-level visual content
Accurately and automatically detecting image orientation is of great importance in intelligent image processing. In this paper, we present automatic image orientation detection al...
Yongmei Michelle Wang, HongJiang Zhang