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» Results of the KDD'99 Classifier Learning
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ICCV
2003
IEEE
15 years 3 days ago
Learning a Classification Model for Segmentation
We propose a two-class classification model for grouping. Human segmented natural images are used as positive examples. Negative examples of grouping are constructed by randomly m...
Xiaofeng Ren, Jitendra Malik
ECCV
2004
Springer
15 years 2 days ago
Learning Outdoor Color Classification from Just One Training Image
We present an algorithm for color classification with explicit illuminant estimation and compensation. A Gaussian classifier is trained with color samples from just one training im...
Roberto Manduchi
NPC
2007
Springer
14 years 4 months ago
A Cost-Aware Parallel Workload Allocation Approach Based on Machine Learning Techniques
Parallelism is one of the main sources for performance improvement in modern computing environment, but the efficient exploitation of the available parallelism depends on a number ...
Shun Long, Grigori Fursin, Björn Franke
MLDM
2005
Springer
14 years 3 months ago
Clustering Large Dynamic Datasets Using Exemplar Points
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
William Sia, Mihai M. Lazarescu
ECML
2007
Springer
14 years 2 months ago
Ordinal Classification with Decision Rules
We consider the problem of ordinal classification, in which a value set of the decision attribute (output, dependent variable) is finite and ordered. This problem shares some chara...
Krzysztof Dembczynski, Wojciech Kotlowski, Roman S...