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 99 for “"image recognition"”.
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Sketch image recognition using deep features
Sketch is a special group of images, and the ability to recognize sketches is of great importance for many applications, including the human-computer interaction and childhood education. Previous approaches often pose this as a sub-class of general image classification which can be solved with a …
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on-Line Image Recognition Using Radial Profiles
Made available in DSpace on 2014-12-13T18:02:14Z (GMT). No. of bitstreams: 1 8026579.pdf: 3439529 bytes, checksum: d7f5e5cb73bf281b8cb64136536c2af3 (MD5) Previous issue date: 1980
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Novel Optical Technique for Real-Time Pattern/Image Recognition
… correlation (JTC) technique for optical pattern recognition. To replace the film recording aspect of performing optical correlation, conventional real-time joint-Transform correlation (JTC) optical systems make use of a spatial light modulator (SLM) located in the Fourier plane to record the …
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Characterizing Image Recognition Difficulty in Artificial and Biological Visual Processing
… years, computational models trained to do object recognition have become increasingly capable. Models have demonstrated significant improvements and have achieved saturated performance on many standard image classification benchmarks sparking discussion of whether these models have achieved parity …
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Understanding Adversarial Training: Improve Image Recognition Accuracy of Convolution Neural Network
… match human performance on tasks such as the recognition of handwritten digits. Recently many researchers work on Convolution Neural Network for image recognition, and get results as good as human being. Additionally, Image recognition task is getting more popular and high demand to apply to …
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Image recognition, semantic segmentation and photo adjustment using deep neural networks
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-05-01
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Exploring image recognition: applying convoluted neural networks and learning to recognize safe cyclists
"Today, there is a need to focus on the mobility revolution that is currently taking place. With the advent of more intelligent data gathering, there is also a growing need for using existing technology and infrastructure to achieve this goal, without incorporating expensive, complicated systems. …
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The Use Of Multiple Saliency Techniques As an Explanation Interface In General Image Recognition
… as a popular option to the medical community for image diagnostics. We present a system that uses multiple saliency techniques as an explanation interface. This system has a bi-directional flow of information allowing expert users to learn from its conclusions while at the same time leaving the …
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Enhancement of image recognition in digital close-range photogrammetry using mathematical equations and camera calibration
… challenges due to its tedious task during the image recognition phase. Thus, this research focuses to investigate the model reconstruction process for an enhanced image capturing method using close-range photogrammetry. Mathematical equations are presented to potentially help for an effective …
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Image recognition using the Eigenpicture Technique (with specific applications in face recognition and optical character recognition)
… the eigenfaces to deal with badly represented images presented in section 2. 7 is our own. The next stage in this section would be to develop an experimental system that can be extensively tested. At this point however, another, nonscientific difficulty arises, that of developing an adequately …
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Build your own deep learner
… mobile apps to solve domain-specific image recognition problems. Domain-specific image recognition problems are challenging due to lack of labeled data - few have the expertise to assign labels to the images. By using the mobile app to collect data, our framework speeds up the process …
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Hyperspectral Remote Sensing for UXO Detection and Damage Assessment on Airfield Pavements
… sensors the benefit of increasing spectral image resolution comes at a cost, creating addition complexity, uncertainty, and sensitivity in the acquisition, data correction, and downstream detection processes. This work presents a series of tests, each designed to better understand and refine …
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Pattern recognition and the nondeterminable affine parameter problem
… reports on the process of implementing pattern recognition systems using classification models such as artificial neural networks (ANNs) and algorithms whose theoretical foundations come from statistics. The issues involved in implementing several classification models and pre-processing …
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Secure inference of quantized neural networks
Running image recognition algorithms on medical datasets raises several privacy concerns. Hospitals may not have access to an image recognition model that a third party may have developed, and medical images are HIPAA protected and thus, cannot leave hospital servers. However, with secure neural …
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DETECTING AND DEFENDING AGAINST DIFFERENT FAMILIES OF ADVERSARIAL EXAMPLE ATTACKS
Adversarial example attacks alter an image so the image appears largely unaltered to human eyes, but image-recognition models will misclassify it. This is a common type of attack, against which there is currently no good general defense. Most state-of-the-art methods of detecting adversarial …
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The Effect Of Hyperparameters In The Activation Layers Of Deep Neural Networks
… results in a variety of domains, including image recognition, speech recognition, sequence modeling, and natural language processing. Many of most exciting recent deep neural network studies have made improvements by hardcoding less about the network and giving the neural network more …
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Code-error calibration techniques for two-step flash analog-to-digital converters
… applications such as high-performance TVs, image recognition, radar, and medical instrumentation. However, the linearity of these state-of-the-art flash-type ADCs has been limited to 10 bits by ratio mismatch of passive components. Although techniques such as laser-trimming, self-calibration …
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Aggregated Learning: An Information Theoretic Framework to Learning with Neural Networks
… challenging real-world applications, including image recognition, speech recognition, and machine translation. This success has increased the demand for developing deep neural networks and more effective learning approaches. The aim of this thesis is to consider the problem of learning a neural …
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Epitome and its applications
… the existing epitome model may fail for image recognition and target detection, which directly motivates us to propose the so-called spatialized epitome in this thesis. Extended from the original simple graphical model of epitome, the spatialized epitome provides a general framework to …
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Delocalized Photonic Deep Learning on the Internet's Edge
… lives, providing unprecedented improvements in image recognition, autonomous driving and conversational AI. To enable this improvement the size of machine learning models has grown exponentially, requiring new hardware that scales accordingly. CMOS electronics, the workhorse of computing for the …
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