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 65 for “"handcrafted"”.
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Automated and Handcrafted Neural Network Design for Vision Applications
… two aspects, automated neural network design and handcrafted neural network design. To be more specific, in the first step, it applies novel neural architecture search algorithms on single image deraining and re-identification (reID), where unique deraining and reID search space are proposed, …
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Vision-based human action recognition using machine learning techniques
… review, these techniques are categorized into handcrafted feature-based and deep learning-based approaches. The proposed action recognition framework is then based on these handcrafted and deep learning based techniques, which are then adopted throughout the thesis by embedding novel algorithms …
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Classification of Faults in Railway Ties Using Computer Vision and Machine Learning
… are explored and compared to achieve this goal - handcrafted features, HOG features, transfer learning and proposed CNN architecture. Mean test accuracy per class and Quadratic Weighted Kappa score are used as performance metrics, particularly suited for the ordered classification in this work. …
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Decoding brains by paying attention: An attention-based fMRI task state decoding deep network architecture
… Typically these models will include either handcrafted features or data driven approaches for downscaling the input features in successive layers. In this thesis, we explore and compare the effectiveness of linear, graph-based and attention-based methods for hierarchical classification. …
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Deep learning and localized features fusion for medical image classification
… rising deep learning paradigm with the use of handcrafted features is developed to classify cervical tissue histology images into different cervical intra-epithelial neoplasia classes. Using deep learning combined with handcrafted features improved the accuracy by 8.4% achieving 80.72% exact …
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Toward Global Localization of Unmanned Aircraft Systems using Overhead Image Registration with Deep Learning Convolutional Neural Networks
… imagery (JNE RCI). JNE RCI is tested with handcrafted feature-based methods SURF and SIFT and a non-handcrafted feature-based pre-trained fine-tuned VGG-16 DLCNN on coarse-grained image registration. Both handcrafted and non-handcrafted feature based methods had difficulty with the …
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Evaluating automated and hybrid neural disambiguation for African historical named entities
… in English. Thus the system was augmented with handcrafted rules to improve its performance. The addition of handcrafted rules resulted in a small but significant improvement in performance when compared to the unaugmented NED system.
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Sentence Simplification for Text Processing
… and relies on both machine learning and handcrafted rules. It implements a small set of sentence transformation schemes, each of which takes one sentence containing compound clauses or complex NPs and converts it one or two simplified sentences containing fewer of these constituents …
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A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques.
… based on merging the advantages of the local handcrafted feature descriptors with the deep learning approaches is proposed, Multimodal Deep Face Recognition (MDFR) framework, to address the face recognition problem in unconstrained conditions. Thirdly, an efficient deep learning system is …
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A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques
… based on merging the advantages of the local handcrafted feature descriptors with the deep learning approaches is proposed, Multimodal Deep Face Recognition (MDFR) framework, to address the face recognition problem in unconstrained conditions. Thirdly, an efficient deep learning system is …
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A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques.
… based on merging the advantages of the local handcrafted feature descriptors with the deep learning approaches is proposed, Multimodal Deep Face Recognition (MDFR) framework, to address the face recognition problem in unconstrained conditions. Thirdly, an efficient deep learning system is …
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DEEP-LEARNING LOCAL FEATURES FOR PHOTOGRAMMETRIC APPLICATIONS AND VISUAL POSITIONING
… and computer vision applications. Traditional handcrafted matching algorithms automatically identify correspondences between image pairs, correspondences that can be triangulated to create a sparse map of the environment, while estimating the pose of the cameras and, in some cases, the internal …
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Evolutionary Optimization of Neural Architectures for Remaining Useful Life Prediction
… affects performance, DNNs are usually handcrafted by human experts via a labor-intensive design process. To overcome this issue, we propose evolutionary neural architecture search (NAS) techniques that explore a search space using a genetic algorithm (GA). NAS automatically discovers …
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Deep learning for automatic microscopy image analysis
… feature engineering-based methods use handcrafted features to address MIA problems, but their performances are generally limited since the handcrafted features can lack feature diversity as well as relevancy to specific tasks. In recent years, deep learning, especially convolutional …
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Design and fabricating of an orthotic insole by using Kinect® XBOX gaming sensor scanner and 3D printer
… overcome their problem of high 3D scanner cost, handcrafted fabrication, inventory problem, and long fabrication time. In term of process, author had proven the potential of Kinect® XBOX 360 gaming sensor as a 3D scanner, CAD as the method of the orthotic insole design, and Additive Manufacturing …
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A uniform representation for visual concepts
… all words and word types rather than relying on handcrafted features specific to each word. We learn words in a weakly-supervised manner, with no need for annotated bounding boxes around objects of interest. We encode words as Hidden Markov models such that word models can be composed according …
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Galaxy classification with deep convolutional neural networks
… Conventional methods rely heavily on a few handcrafted morphological features while popular feature extraction methods that developed for natural images are not suitable for galaxy images. Deep convolutional neural networks (CNNs) are able to learn powerful features from images by …
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Generative opponents : a new architecture for native soil
… architectural possibilities beyond the handcrafted vernacular language of conventional practice and the synthetic perfection of contemporary digital design. Using bamboo as the main construction material, the building was designed from a series of studies that were developed to solve the …
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Making Space for Daydreams
… techniques and both digital fabrication and handcrafted approaches, including: woodworking, hand-cut paper, laser-cut illustration, motion capture, projection mapping and pencil drawings. The exhibition explores themes related to daydreaming, and the value of recognizing and building spaces …
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