Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 338 for “"Pre-processing"”.
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PICTURE PRE-PROCESSING INTERFACE FOR THE SIGMA-2 COMPUTER
… techniques, and the need for an adequate picture pre-processing scheme considered. This leads to a description of FIDAC in which an alternative driving mode is introduced. The logic of FIDAC is then described in detail in order to introduce a discussion of the conversion modifications and the …
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3D Morphable Models: Data Pre-Processing, Statistical Analysis and Fitting
This thesis presents research aimed at using a 3D linear statistical model (known as a 3D morphable model) of an object class (which could be faces, bodies, cars, etc) for robust shape recovery. Our aim is to use this recovered information for the purposes of potentially useful applications like …
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Clustering-Based Pre-Processing Approaches To Improve Similarity Join Techniques
… more source systems. This research is focused on pre-processing clustering-based techniques to improve existing similarity join approaches.</p> <p>Identifying and extracting the same real-world entities from different data sources is still a big challenge and a significant task in the digital …
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An on-Line Image Pre-Processing Camera System for Pattern Recognition
A pattern recognition system has been developed which is capable of recognizing high contrast two-dimensional visual patterns and which is insensitive to the translation, rotation, and size of a pattern. The unique characteristics of the system are its speed, its low cost and the fact that it is …
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Emotion recognition in video using deep learning method with subtract pre-processing
… of this paper is to distinguished human expression using a deep learning method. This paper present a new preprocessing method to extract the features of human expression from videos, and then uses deep learning methods to analysis the human emotions. A facial expression is usually regarded …
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A Novel Image Retrieval Strategy Based on VPD and Depth with Pre-Processing
<p>This dissertation proposes a comprehensive working flow for image retrieval. It contains four components: denoising, restoration, color features extraction, and depth feature extraction. We propose a visual perceptual descriptor (VPD) to extract color features from an image. Gradient direction …
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The effect of pre-processing techniques and optimal parameters on BPNN for data classification
… non-linear capabilities channel it for use in processing at high speed and ability to learn the solution to a problem from a set of examples. It has been adequately applied in areas such as medical, financial, economy, and engineering. Neural network training has been a dynamic area of …
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An interactive color pre-processing method to improve tumor segmentation in digital medical images
… of tissue data.</p> <p>In this thesis a color pre-processing method for segmentation is presented. Most tumor segmentation methods are based on grayscale values of the medical images. The method proposed in this thesis adds color information to the original values of the image. The user selects …
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Advanced Pre-Processing and Change-Detection Techniques for the Analysis of Multitemporal VHR Remote Sensing Images
… Even if these methods usually identify only the presence/absence of changes without giving information about the kind of change occurred, they are considered the most interesting from an operational perspective, as in the most of the applications no multitemporal ground truth information is …
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Physically constrained maximum likelihood (PCML) mode filtering and its application as a pre-processing method for underwater acoustic communication
… statistics be known a priori. Adaptive array processing algorithms are candidates for improving performance without the need for a priori signal and noise statistics. A variant of the physically constrained, maximum likelihood (PCML) algorithm is developed for mode filtering that achieves the …
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Physically constrained maximum likelihood (PCML) mode filtering and its application as a pre-processing method for underwater acoustic communication
… statistics be known a priori. Adaptive array processing algorithms are candidates for improving performance without the need for a priori signal and noise statistics. A variant of the physically constrained, maximum likelihood (PCML) algorithm [2] is developed for mode filtering that achieves …
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Efficient Processing of Corneal Confocal Microscopy Images. Development of a computer system for the pre-processing, feature extraction, classification, enhancement and registration of a sequence of corneal images.
… there are also difficulties posed for automatic processing caused by eye movements in both lateral and axial directions during the scanning process. Aiding ophthalmologists working with long sequences of corneal image requires the development of new algorithms which enhance, correctly order and …
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Efficient Processing of Corneal Confocal Microscopy Images. Development of a computer system for the pre-processing, feature extraction, classification, enhancement and registration of a sequence of corneal images
… there are also difficulties posed for automatic processing caused by eye movements in both lateral and axial directions during the scanning process. Aiding ophthalmologists working with long sequences of corneal image requires the development of new algorithms which enhance, correctly order and …
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Enriching Word Representation Learning for Affect Detection and Affect-Aware Recommendations
… affect detection in text by enhancing word representation learning. We enrich word representations in two ways: one by effective pre-processing of training word embeddings and second by incorporating both affective and contextual features deeply into text representations. We demonstrate the …
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Mining Help Desk Emails for Problem Domain Identification and Email Feature Engineering for Routing Incoming Emails
This work also outlines different pre-processing steps done on email from the help desk domain, such as removal of different types of noise elements and removal of stop words using a customized stop word list, and the outcome of each of these pre-processing steps.
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Fair, Robust, and Calibrated Deep Learning with Heavy-Tailed Subgroups
… and marginalized subgroups tend to be underrepresented. To move toward safer systems, we present two studies on fair pre-processing and ensemble learning, respectively. We show that fair pre-processing comes with a fairness-robustness-calibration tradeoff, and we present a novel adaptive …
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Mood and advertising persuasion : a model integrating mood management and mood disruption mechanisms
… on mood has focused mainly on the impact of pre-processing mood on attitude formation, cognitive process, or behaviour. The present study, however, opens a new research direction by investigating the impact of ad characteristics on pre-processing mood. In particular, this research develops a …
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Using Big Data Analytics to Optimize Practical Large Databases
… to achieve the goal. Therefore, a good data pre-processing approach is required and is a key step to success. We propose to research on the effectiveness of data pre-processing and the business process based on a real world database. Our methodology involves natural language processing. Our …
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Constrained parameterization with applications to graphics and image processing.
… widely applied to computer graphics and image processing fields. The challenging issue is that the usual positional constraints always result in triangle flipping in parameterizations (also called foldovers). Additionally, distortion is inevitable in parameterizations. Thus the rigid constraint …
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