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IPMU
2010
Springer
13 years 11 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...
NIPS
2001
13 years 10 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
MCS
2007
Springer
14 years 3 months ago
Classifier Combining Rules Under Independence Assumptions
Classifier combining rules are designed for the fusion of the results from the component classifiers in a multiple classifier system. In this paper, we firstly propose a theoretica...
Shoushan Li, Chengqing Zong
CORR
1999
Springer
67views Education» more  CORR 1999»
13 years 8 months ago
Robust Combining of Disparate Classifiers through Order Statistics
: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...
Kagan Tumer, Joydeep Ghosh
SIGSOFT
2010
ACM
13 years 7 months ago
Combining hardware and software instrumentation to classify program executions
Several research efforts have studied ways to infer properties of software systems from program spectra gathered from the running systems, usually with software-level instrumentat...
Cemal Yilmaz, Adam A. Porter