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» Is Combining Classifiers Better than Selecting the Best One
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NIPS
1996
13 years 9 months ago
Combinations of Weak Classifiers
To obtain classification systems with both good generalizat`ion performance and efficiency in space and time, we propose a learning method based on combinations of weak classifiers...
Chuanyi Ji, Sheng Ma
ICPR
2010
IEEE
14 years 1 days ago
Boolean Combination of Classifiers in the ROC Space
Using Boolean AND and OR functions to combine the responses of multiple one- or two-class classifiers in the ROC space may significantly improve performance of a detection system o...
Wael Khreich, Eric Granger, Ali Miri, R. Sabourin
CORR
2010
Springer
186views Education» more  CORR 2010»
13 years 7 months ago
Color Image Compression Based On Wavelet Packet Best Tree
In Image Compression, the researchers' aim is to reduce the number of bits required to represent an image by removing the spatial and spectral redundancies. Recently discrete...
Gajanan K. Kharate, Varsha H. Patil
IPMU
2010
Springer
13 years 9 months ago
Using Uncertainty Information to Combine Soft Classifications
The classification of remote sensing images performed with different classifiers usually produces different results. The aim of this paper is to investigate whether the outputs of ...
Luisa M. S. Gonçalves, Cidália C. Fo...
KDD
2002
ACM
119views Data Mining» more  KDD 2002»
14 years 8 months ago
Evaluating classifiers' performance in a constrained environment
In this paper, we focus on methodology of finding a classifier with a minimal cost in presence of additional performance constraints. ROCCH analysis, where accuracy and cost are i...
Anna Olecka