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PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
16 years 14 days ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
CVPR
2005
IEEE
15 years 12 months ago
The Distinctiveness, Detectability, and Robustness of Local Image Features
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
Gustavo Carneiro, Allan D. Jepson
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
16 years 20 days ago
Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction
— RNA molecules are distinguished by their sequence composition and by their three-dimensional shape, called the secondary structure. The secondary structure of a pre-mRNA sequen...
Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
15 years 10 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
CVPR
2006
IEEE
16 years 8 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal