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» Learning the Relative Importance of Features in Image Data
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147
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ECML
1987
Springer
15 years 8 months ago
Induction in Noisy Domains
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important ...
Peter Clark, Tim Niblett
IJCV
2000
164views more  IJCV 2000»
15 years 4 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
162
Voted
ICIP
2007
IEEE
16 years 6 months ago
Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
134
Voted
INCDM
2009
Springer
131views Data Mining» more  INCDM 2009»
15 years 11 months ago
Computer-Aided Diagnosis in Brain Computed Tomography Screening
Currently, interpretation of medical images is almost exclusively made by specialized physicians. Although, the next decades will most certainly be of change and computer-aided dia...
Hugo Peixoto, Victor Alves
236
Voted
GIS
2006
ACM
16 years 5 months ago
Efficient position-independent iconic search using an R-theta index
An iconic image database is a collection of symbolic images where each image is a collection of labeled point features called icons. A method is presented to support fast position...
Charles Ben Cranston, Hanan Samet