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MCS
2007
Springer
14 years 1 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
MCS
2005
Springer
14 years 1 months ago
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data
Abstract. Obtaining ground truth for hyperspectral data is an expensive task. In addition, a number of factors cause the spectral signatures of the same class to vary with location...
Suju Rajan, Joydeep Ghosh
MCS
2001
Springer
14 years 8 days ago
Finding Consistent Clusters in Data Partitions
Abstract. Given an arbitrary data set, to which no particular parametrical, statistical or geometrical structure can be assumed, different clustering algorithms will in general pr...
Ana L. N. Fred
MCS
2001
Springer
14 years 8 days ago
Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis
One of the main factors affecting the effectiveness of ECOC methods for classification is the dependence among the errors of the computed codeword bits. We present an extensive ...
Francesco Masulli, Giorgio Valentini
MCS
2008
Springer
13 years 7 months ago
Study on shape creation of building's roof by evaluating aesthetic sensibility
The purpose of this study is to develop an optimum design method for roof shapes satisfying both aesthetic sensibility (beauty) and economic evaluation by using the genetic algori...
Kazutoshi Tsutsumi, Keisuke Sasaki