Searched for: subject%3A%22l1%255C-regularization%22
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Bouchan, Thomas (author)
Breast cancer is the most occurring cancer among women. Detecting it at an early stage enables to significantly reduce the mortality rate. Mammography is the golden standard technique used for screening but it has some disadvantages, among which the difficulty to scan women with dense breasts. Ultrasound is a promising technique enabling a cheap...
master thesis 2019
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Liu, Zheheng (author)
In this thesis, we investigate a sparse basis for ultrasound images, so that we can use sparse regularization in imaging. Actually, there are few previous researches explicitly demonstrating that medical ultrasound images can be sparsified for some dictionary. We consider various orthogonal transforms such as wavelet transforms, cosine...
master thesis 2019
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Kooijman, J.F. (author)
Stock market prediction has been a research topic for decades; recently, efforts to increase the accuracy by including data from social media like Google and Twitter received a lot of attention. Social media can be regarded as indicator for sentiments and sentiments are known to influence the stock market. Current models lack interpretation; it...
master thesis 2014
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Burki, T.R. (author)
Prediction of the stock market has been a research topic for decades. Recently, data from social media like Google and Twitter are included in prediction models. This data serves as an indicator of sentiments that are potentially useful for prediction. Interpretation of current prediction methods is cumbersome. Beforehand it is not known which...
master thesis 2014
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