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 38 for “"feature analysis"”.
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COMPOSITE KERNEL FEATURE ANALYSIS FOR CANCER CLASSIFICATION
… studies are focused in developing a fast kernel feature analysis that can efficiently differentiate polyps from false positives and thus improve the detection performance of polyps. We have developed a novel method of selecting kernel functions that are appropriate for the given data set and then …
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An age related feature analysis of the Autocom
… research was designed to outline the Autocom features, develop teaching sequences which incorporated these features and determine the ability of prefirst and third grade subjects to operate the features for functional conmunication. The population was comprised of 20 physically and …
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Unsupervised feature analysis for high dimensional big data
… which could work well even without supervision. Feature analysis has been proven effective and important for many applications. Feature analysis is a broad research field, whose research topics includes but are not limited to feature selection, feature extraction, feature construction, and …
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Dorsal hand feature analysis: an aid to forensic human identification
The analysis of anatomical features on the dorsum of the hand has been utilised in forensic investigations for ascertaining anatomical similarities and differences between suspect and offender images, since 2007. This approach was introduced and developed by the team at CAHId, and has primarily …
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A Systematic Framework for Feature Analysis, Selection, and Property Prediction of Chemical Materials Using Machine Learning
… application of a gradient-boosted statistical feature selection workflow within the field of materials informatics. Its utility is demonstrated via the prediction of various material properties across different research domains, including solid-state physics, condensed matter physics, materials …
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Effects of Semantic Feature Analysis+Multimodal Communication Program for Word Retrieval and Switching Behavior in Primary Progressive Aphasia
… examined the effects of a combined semantic feature analysis and multimodal communication program (SFA+MCP) on word retrieval accuracy and switching among modalities in a person with PPA. Changes in word retrieval accuracy and switching were minimal. However, the listeners' identification of …
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Legislative Language for Success
… was accomplished through data filtration, feature extraction, implementation of classification models, and feature analysis. Several features were extracted and tested to find those that had the greatest impact on the bill outcome. The features chosen provided information on the sentence …
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High Performance Geospatial Analysis on Emerging Parallel Architectures
… algorithms: viewshed calculation, image feature transform, and feature analysis. It presents implementations of these algorithms that exploit parallel processing to reduce execution time, and analyzes the effectiveness of the implementations in their use of parallel processing.</p>
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Toward a further understanding of object feature binding: a cognitive neuroscience perspective.
… of the neural mechanisms underlying object feature binding in the human brain. The focus is on information processing and integration in the visual system and visual shortterm memory. From a review of the literature it is clear that there are three major competing binding theories, however, …
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ATREngine: An Orientation-Based Algorithm for Automatic Target Recognition
… includes Chessa Guilas’ Hausdorff Probabilistic Feature Analysis Approach in 2005 and Daniel Cary’s Optimal Rectangular Fit in 2007.</p> <p>A system incorporating multiple modules performing different tasks is developed to streamline the data processing of previous algorithms. Using images from …
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Speech Recognition under Stress
… are speaker-independent. The characteristic feature analysis has been carried out in three domains: pitch, intensity， and glottal spectrum. The results showed that speech spoken under angry and question stress indicates extremely wide fluctuations with average higher pitch, higher RMS …
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Detection of micro-aneurysms in low-resolution color retinal images
… filtering, thresholding, region growing and feature analysis. This algorithm has been tested on retinal images of 640 x 480 resolution. Experimental results show that it is possible to set up parameters to achieve 100% global sensitivity with up to 80% global specificity, which means that all …
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WAVELENGTH AND VISUAL FEATURE SELECTION FOR NON-DESTRUCTIVE EVALUATION OF FUSARIUM HEAD BLIGHT IN WHEAT USING HYPERSPECTRAL IMAGING
… models trained on spatial–spectral features. The scanner captured hyperspectral scans of over 1,500 healthy and Fusarium-damaged kernels, from which statistical features were extracted at each wavelength. Classification models were trained to assess the contribution of individual …
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Deep learning and localized features fusion for medical image classification
<p>"Local image features play an important role in many classification tasks as translation and rotation do not severely deteriorate the classification process. They have been commonly used for medical image analysis. In medical applications, it is important to get accurate diagnosis/aid results in …
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A requirements engineering method for COTS-based systems development
… with those from knowledge engineering, feature analysis, multi-criteria decision-making and argumentation approaches to address the lack of guidance for acquiring requirements to enable evaluation and selection of commercial-off-the-shelf (COTS) software. PORE is designed in part from …
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A Study of Dempster-Shafer's Theory of Evidence in Comparison to Classical Probability Combination
… Automatic Target Recognition (ATR). A three feature based classifier (peaks, corners and edges) ATR system is presented. These classifiers are assumed to be independent. The results of both the weight-based Maximum Likelihood and Dempster-Shafer’s Theory of Evidence data fusion techniques are …
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Making computer vision Methods accessible for cell classification
… qualities that can be quantified with spectral analysis. Next, CellProfiler Analyst, an updated software application for interactive machine learning classification and feature analysis is described along with its use for classifying imaging flow cytometry data. Further software related advances …
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Translationese indicators for human translation quality estimation (based on English-to-Russian translation of mass-media texts)
… empirical test. Exploring translationese features in a quality estimation task can help identify quality-related trends in translational behaviour and provide data-driven insights into professionalism to improve training. Using translationese for quality estimation fits well with the …
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Investigation on the Interaction of an Impinging Jet with Cylinder Wakes
… distribution of heat transfer. The statistical analysis concluded jet oscillation is most sensitive to cylinder vortex strength. A frequency spectral analysis is performed to classify oscillating and non-oscillating cases. Finally, unsteady numerical and experimental research is carried out to …
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Autonomous Multi-Sensor and Web-Based Decision Support for Crop Diagnostics in Greenhouse
… to continuously monitor plant related features: color (red-green-blue, hue-saturation-luminance, and color brightness), morphology (top projected canopy area), textural (entropy, energy, contrast, and homogeneity), Normalized Difference Vegetative Index (NDVI) (as well as other similar …
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