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A COMPARISON OF TWO STRATEGIES FOR AVOIDING NEGATIVE TRANSFER IN DOMAIN ADAPTATION BASED ON LOGISTIC REGRESSION
Transfer learning Domain Adaptation Negative Transfer Remote Sensing
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2018/6/4
In this paper we deal with the problem of measuring the similarity between training and tests datasets in the context of transfer learning (TL) for image classification. TL tries to transfer knowledge...
CLASSIFICATION OF URBAN AERIAL DATA BASED ON PIXEL LABELLING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS AND LOGISTIC REGRESSION
aerial data urban areas evidence combination object classification deep feature learning
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2016/11/23
The recent success of deep convolutional neural networks (CNN) on a large number of applications can be attributed to large amounts of available training data and increasing computing power. In this p...
TRANSFER LEARNING BASED ON LOGISTIC REGRESSION
Transfer Learning Domain Adaptation Logistic Regression Machine Learning Knowledge Transfer Remote Sensing
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2015/9/21
In this paper we address the problem of classification of remote sensing images in the framework of transfer learning with a focus on domain adaptation. The main novel contribution is a method for tra...
Multinomial Logistic Regression Predicted Probability Map To Visualize The Influence Of Socio-Economic Factors On Breast Cancer Occurrence in Southern Karnataka
Probability Multinomial logistic regression Breast Cancer Socio-economic influence
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2014/12/15
Multinomial logistic regression analysis was used to develop statistical model that can predict the probability of breast cancer in Southern Karnataka using the breast cancer occurrence data during 20...
Application of a Novel Method for Machine Performance Degradation Assessment Based on Gaussian Mixture Model and Logistic Regression
performance degradation assessment Gaussian mixture model logistic regression
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2011/8/4
The currently prevalent machine performance degradation assessment techniques involve estimating a machine's current condition based upon the recognition of indications of failure features, which enta...