Essays about: "binarization"
Showing result 1 - 5 of 20 essays containing the word binarization.
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1. Inferring Gene regulatory networks using Graph Neural Networks
University essay from KTH/GenteknologiAbstract : Inom beräkningsbiologin är det snabbt på väg att bli allt vanligare att ta fram genetiska regleringsnätverk (GRN). På grund av storleken på de undersökta nätverken använder många forskare maskininlärning för att härleda GRN från genuttrycksdata, vanligtvis från RNA-seq. READ MORE
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2. Automatic Handwritten Text Detection and Classification
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : As more and more organizations digitize their records, the need for automatic document processing software increases. In particular, the rise of ‘digital humanities’ precede a new set of problems on how to digitize historical archival material in an efficient and accurate manner. READ MORE
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3. Optimisation of card recognition routine
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Card-dealing machines for the game Bridge are used to automate the time-consuming process of sorting cards. They require methods to recognize each card's suit and value during the process, as the sorting is predetermined. The machine considered in this thesis uses a webcam that feeds a 30 FPS video stream to a contour analysis algorithm. READ MORE
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4. Handwritten Document Binarization Using Deep Convolutional Features with Support Vector Machine Classifier
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Since historical handwritten documents have played important roles in promoting the development of human civilization, many of them have been preserved through digital versions for more scientific researches. However, various degradations always exist in these documents, which could interfere in normal reading. READ MORE
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5. Gaussian Process Multiclass Classification : Evaluation of Binarization Techniques and Likelihood Functions
University essay from Linnéuniversitetet/Institutionen för matematik (MA)Abstract : In binary Gaussian process classification the prior class membership probabilities are obtained by transforming a Gaussian process to the unit interval, typically either with the logistic likelihood function or the cumulative Gaussian likelihood function. Multiclass classification problems can be handled by any binary classifier by means of so-called binarization techniques, which reduces the multiclass problem into a number of binary problems. READ MORE