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ICPR
2002
IEEE
14 years 11 months ago
To Each According to its Need: Kernel Class Specific Classifiers
We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
Barbara Caputo, Heinrich Niemann
ISMB
1997
13 years 11 months ago
Protein Folding Class Predictor for SCOP: Approach Based on Global Descriptors
This workdemonstrates newtechniques developed for the prediction of protein folding class in the context of the most comprehensiveStructural Classification of Proteins (SCOP). The...
Inna Dubchak, Ilya B. Muchnik, Sung-Hou Kim
POS
1998
Springer
14 years 2 months ago
Toward Class Evolution in Persistent Java?
The appeal of persistent class-oriented programming languages is great. Allowing class definitions to be persistent, in addition to instance data, greatly increases the ease of ac...
John V. E. Ridgway, Jack C. Wileden
IFIP12
2008
13 years 11 months ago
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Mar...
ICCV
2007
IEEE
14 years 11 months ago
How Good are Local Features for Classes of Geometric Objects
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
Michael Stark, Bernt Schiele