Sökning: "SVM classification"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden SVM classification.

  1. 1. 1:N fingerprint classification

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Linda Xiang; Ellen Petersson; [2018]
    Nyckelord :K-centroid; similarity measure; SVM; templates; Bag-of-words; Mathematics and Statistics;

    Sammanfattning : Biometric recognition systems are widely used to recognize an individual. Fingerprints is a biometric identifier and are today widely used in smartphones for biometric recognition. The fingerprint software used in smartphones are great and fast, and usually implemented for one person usage. LÄS MER

  2. 2. Human Activity Recognition using Deep Learning and Sensor Fusion

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Klas Berggren; [2018]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : The subject of this thesis is human activity recognition in health care. The data set used is the SBHAR data set. It contains accelerometer and gyroscope of 30 different individuals walking, walking upwards, walking downwards, sitting, standing and lying. LÄS MER

  3. 3. Natural Language Processing in Artificial Neural Networks: Sentence analysis in medical papers

    Master-uppsats, Lunds universitet/Institutionen för astronomi och teoretisk fysik; Lunds universitet/Beräkningsbiologi och biologisk fysik

    Författare :Konstantin-Klemens Lurz; [2018]
    Nyckelord :Machine Learning; Natural Language Processing; Medical Papers; Convolutional Neural Networks; Word2Vec; Physics and Astronomy;

    Sammanfattning : Convolutional Neural Networks (CNNs) and pre-trained word embeddings have revolutionized the field of Natural Language Processing (NLP) during the last years. In this project, CNNs are used on top of the Word2Vec word representation for a sentence classification task on medical research articles. LÄS MER

  4. 4. Effects of spatial resolution,land-cover heterogeneity and different classification methods on accuracy of land-cover mapping

    Master-uppsats, SLU/Southern Swedish Forest Research Centre

    Författare :Tweneboa Kwame Awuah; [2017]
    Nyckelord :image classification; spectral unmixing; random forest RF ; feature extraction; spatial resolution; heterogeneity; support vector machine SVM ; endmember extraction;

    Sammanfattning : Despite improved spatial and spectral characteristics of satellite and aerial imaging systems, land-cover classification is still challenged by a continuously evolving and complex rural and urban landscape conditions resulting from diverse land-use scenarios. Sizes and material composition of impervious surfaces changes greatly from urban to rural areas, leading to varying spectral signatures and ultimately misclassification. LÄS MER

  5. 5. Splicing Forgery Detection and the Impact of Image Resolution

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

    Författare :Vishnu Manasa Devagiri; [2017]
    Nyckelord :Splicing Forgery; Machine Learning; Image Processing;

    Sammanfattning : Context: There has been a rise in the usage of digital images these days. Digital images are being used in many areas like in medicine, wars, etc. As the images are being used to make many important decisions, it is necessary to know if the images used are clean or forged. In this thesis, we have considered the area of splicing forgery. LÄS MER