Essays about: "Pattern Recognition and Classification"

Showing result 11 - 15 of 35 essays containing the words Pattern Recognition and Classification.

1. 11. Revision of an artificial neural network enabling industrial sorting

   University essay from Uppsala universitet/Institutionen för teknikvetenskaper

   Author : Henrik Malmgren; [2019]
   Keywords : artificial neural networks; machine learning; deep learning; connectionism; pattern recognition; machine learning; automation; image analysis; information technology; applied mathematics; mathematical optimization; information theory; mathematical statistics; mathematical models; stochastic models; probabilities; chance; approximations; algorithms; computer programs; computer software; signal processing; high performance computing; numerical methods; high technology industries; sustainable development; artificiella neurala nätverk; maskininlärning; djup maskininlärning; konnektionism; mönsterigenkänning; automatisering; bildanalys; informationsteknik; tillämpad matematik; optimering; informationsteori; statistisk inferens; matematiska modeller; stokastiska modeller; sannolikhetskalkyl; slumpen; approximationer; algoritmer; datorprogram; programvara; signalbehandling; högpresterande beräkningar; numeriska metoder; teknikutveckling; maskinindustri; högteknologisk industri; maskinhandel; skrothandel; bärkraftig utveckling;

   Abstract : Convolutional artificial neural networks can be applied for image-based object classification to inform automated actions, such as handling of objects on a production line. The present thesis describes theoretical background for creating a classifier and explores the effects of introducing a set of relatively recent techniques to an existing ensemble of classifiers in use for an industrial sorting system. READ MORE

3. 12. Comparative study of table layout analysis : Layout analysis solutions study for Swedish historical hand-written document

   University essay from Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

   Author : Xusheng Liang; [2019]
   Keywords : layout analysis; pattern recognition; document digitalization; table layout extraction; transfer learning; machine learning; image processing; Hessian filter; Gabor filter;

   Abstract : Background. Nowadays, information retrieval system become more and more popular, it helps people retrieve information more efficiently and accelerates daily task. READ MORE

4. 13. Classification of Healthy and Alzheimer's Patients Using Electroencephalography and Supervised Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Ramtin Javanmardi; Dawood Rehman; [2018]
   Keywords : EEG; Alzheimer s; Machine learning; Supervised machine learning; Spectral power; Feature extraction; Support vector machine; svm; knn; lda;

   Abstract : Alzheimer’s is one of the most costly illnesses that exists today and the number of people with alzheimers diease is expected to increase with 100 million until the year 2050. The medication that exists today is most effective if Alzheimer’s is detected during early stages since these medications do not cure Alzheimer’s but slows down the progression of the disease. READ MORE

5. 14. Application of the German Traffic Sign Recognition Benchmark on the VGG16 network using transfer learning and bottleneck features in Keras

   University essay from Uppsala universitet/Datalogi; Uppsala universitet/Institutionen för teknikvetenskaper

   Author : Siri Persson; [2018]
   Keywords : deep learning; image classification; Keras; neural network; transfer learning;

   Abstract : Convolutional Neural Networks (CNNs) are successful tools in image classification. CNNs are inspired by the animal visual cortex using a similar connectivity pattern as between neurons. READ MORE

6. 15. Investigating the use of multi-label classification methods for the purpose of classifying electromyographic signals

   University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

   Author : Petter Björklund; [2018]
   Keywords : Biomedical engineering; Statistical classification; Prosthetics; Technology and Engineering;

   Abstract : The type of pattern recognition methods used for controlling modern prosthetics, referred to here as single-label classification methods, restricts users to a small amount of movements. One prominent reason for this is that the accuracy of these classification methods decreases as the number of allowed movements is increased. READ MORE