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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...
AUTOMATIC ADAPTATION OF SEGMENTATION PARAMETERS APPLIED TO INHOMOGENEOUS OBJECTS DETECTION
Parameter Adaptation Parameter Tuning Object Detection Segmentation Genetic Algorithms Hough Transform
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2015/11/16
Virtually all segmentation methods require parameter tuning, quite a difficult task, mostly performed manually through a
troublesome trial-and-error process. To overcome this difficulty, an earlier ...
VERIFICATION OF A METHODOLOGY FOR THE AUTOMATIC SCALE-DEPENDENT ADAPTATION OF OBJECT MODELS
Interpretation Model Scale Knowledge Base Multiresolution Object Extraction
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2015/8/31
A methodology for the automatic adaptation of object models consisting of parallel line-type objects parts to a lower image resolution was developed previously. This paper aims at the verification of ...
VERIFICATION OF A METHODOLOGY FOR THE AUTOMATIC SCALE-DEPENDENT ADAPTATION OF OBJECT MODELS
Interpretation Model Scale Knowledge Base Multiresolution Object Extraction
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2015/8/28
A methodology for the automatic adaptation of object models consisting of parallel line-type objects parts to a lower image resolution was developed previously. This paper aims at the verification of ...
A GENETIC APPROACH FOR THE AUTOMATIC ADAPTATION OF SEGMENTATION PARAMETERS
Segmentation Optimization Genetic Algorithm Parameter Adaptation Object-Oriented Classification
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2015/8/19
The key step in object-oriented image classification is the segmentation of the image into discrete meaningful objects. Generally the relation between the segmentation parameters and the corresponding...
AUTOMATIC SCALE-DEPENDENT ADAPTATION OF VARIABLE OBJECT MODELS
Interpretation Expert System Knowledge Base Model Scale Representation Multiresolution
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2015/8/17
A methodology for the automatic adaptation of models for the extraction of landscape objects with a variable number of similar object parts to a coarser image resolution is proposed in this paper. A g...
SCALE-DEPENDENT ADAPTATION OF OBJECT MODELS FOR ROAD EXTRACTION
Interpretation Model Scale Knowledge Base Multiresolution Representation Generalization
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2015/8/7
The spatial resolution of available image data plays an important role at the creation of object models for road extraction. The type and perceptibility of roads changes with increasing ground pixel s...
ADAPTATION OF OBJECT MODELS FOR ROAD EXTRACTION IN IMAGES OF DIFFERENT RESOLUTION
Interpretation Model Scale Knowledge Base Multiresolution Representation Generalization
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2015/8/3
Depending on the spatial resolution, the appearance of roads differs in images. In high resolution aerial images aroad might be distinguishable as an area with visible road markings, while in a satell...
SIMILARITY METRICS FOR GENETIC ADAPTATION OF SEGMENTATION PARAMETERS
Segmentation Optimization Genetic Algorithm Parameter Adaptation Object-Oriented Classification
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2014/6/12
The relation between the segmentation parameters values and the segmentation result is far from being obvious. Therefore, in order to produce the desired outcome a complex and time consuming trial and...