Now showing items 1-20 of 39

    • 3D Mesh Simplification Techniques for Enhanced Image Based Rendering 

      Naik, Deepa (2017-06-07)
      Three dimensional videos and virtual reality applications are gaining wide range of popularity in recent years. Virtual reality creates the feeling of 'being there' and provides more realistic experience than conventional ...
    • Acoustic scene classification using clustering-based acoustic models 

      Ibáñez Sáez, Natalia (2017-06-07)
      This thesis consists in the extension of the baseline system for Acoustic Scene Classification, developed by the Audio Research Group at Tampere university of Technology for the challenge of Detection and Classification ...
    • Analysis and Comparison of Modern Video Compression Standards for Random-access Light-field Compression 

      Zare, Alireza (2017-06-07)
      Light-field (LF) 3D displays are anticipated to be the next-generation 3D displays by providing smooth motion parallax, wide field of view (FOV), and higher depth range than the current autostereoscopic displays. The ...
    • Audio dataset creation 

      Eklund, Ville-Veikko Oskari (2018-01-10)
      The goal of this thesis was to build an easily accessible and approachable environmental audio dataset for benchmarking machine learning algorithms. The samples in the created dataset were collected from Freesound, which ...
    • Automated clustering of perturbation-induced quantum scars 

      Palovuori, Tomi (2018-08-15)
      Some of high-energy eigenstates of a highly disordered quantum system are strongly scarred by periodic orbits of the unperturbed classical counterpart. Detecting these scars has thus far relied on a researcher to go through ...
    • Automatic Pectoral Muscle Segmentation in Full-Field Digital Mammography Images Using Log-Gabor Filters 

      Scheer, Lukas (2018-06-06)
      Mammography image segmentation is one of the first steps taken by a computer-aided diagnosis system, to find the region of interest for further processing and risk assessment. Failure to do so properly could lead to false ...
    • Auton nopeuden mittaaminen videosta 

      Virtanen, Jimi (2018-08-15)
      Videopohjaiset nopeudenmittausmenetelmät ovat valtaamassa alaa Doppler-ilmiöön perustuvilta nopeustutkilta. Perinteiset tutkat kärsivät radiotaajuushäiriöstä ja rajoittuvat vain yhden kohteen yhtäaikaiseen mittaukseen. ...
    • Bioimage analysis using convolutional neural networks and feature engineering 

      Valkonen, Mira (2017-06-07)
      In digital pathology, analysis of histopathological images is mainly time-consuming manual labor and prone to subjectivity. Automated image analysis provides methods to analyse these images in a quantitative, objective, ...
    • Camera Based Object Detection for Indoor Scenes 

      Adhikari, Bishwo Prakash (2018-06-06)
      This master thesis describes a practical implementation of a deep learning framework for object detection on the self-collected multiclass dataset. The research work presents multiple perspectives of the data collection, ...
    • Cancer Detection from Histopathology Images 

      Khorrami, Khazar (2018-06-06)
      Histopathological analysis of whole-slide images is one of the most widely used techniques for diagnosis of lung cancers. In this study, a fully automated pipeline was developed to detect cancer from histopathology slides ...
    • Clustering Algorithms for High-Dimensional Data 

      Poc, Ángel (2018-08-15)
      More and more data are produced every day. Some clustering techniques have been developed to automatically process this data, however, when this data is characteristically high-dimensional, conventional algorithms do not ...
    • Comparing Real-time Data Analytics Technologies For Remote Patient Monitoring 

      Niu, Yunkun (2018-06-06)
      With the maturing of Big Data and telecommunication technologies, it has become possible to implement remote patient monitoring services for remote diagnosis. These services allow patients to be monitored regardless of ...
    • Dominant Convolutional Feature Channels for Image Subcategory Clustering 

      Yao, Peng (2017-09-06)
      This thesis work aims to study what convolutional neural network actually learn and how can we make use of the convolutional neural network features. It carried out a framework to perform image subcategory clustering in ...
    • The effect of two hyperparameters in the learning performance of the Convolutional Neural Networks 

      Saari, Mikko Lauri Henrik (2018-08-15)
      The research topic of this work was to study the effect of two special hyperparameters to the learning performance of Convolutional Neural Networks (CNN) in the Cifar-10 image recognition problem. The first hyperparameter, ...
    • Exploiting saliency information in discriminant subspace learning 

      Lei, Xu (2017-10-04)
      The objective of this thesis is to investigate a new linear discriminant analysis method, which could overcome underlying drawbacks of traditional Linear Discriminant Analysis (LDA) and other LDA variants targeting problems ...
    • Fine-grained classification of low-resolution image 

      Cai, Dingding (2017-12-07)
      Successful fine-grained image classification methods learn subtle details between visually similar (sub-)categories, but the problem becomes significantly more challenging if the details are missing due to low resolution. ...
    • From Light Fields to Wavefields: Hologram Generation Using Multiperspective Images 

      Mäkinen, Jani (2017-06-07)
      In this thesis, the link between the ray-optics and wave-optics formalisms of light propagation modeling is studied through light field (LF) and holography. Multi-perspective images, such as captured by multicamera arrays, ...
    • Kasvojen etsintä kuva-aineistosta 

      Tommola, Janne (2018-08-15)
      Tässä työssä tarkastellaan erilaisia koneoppimisen menetelmiä kasvojen etsintään kuva-aineistosta. Työn tavoitteena on saada käsitys alan menetelmistä ja kehityksestä tällä vuosituhannella. Työssä vertailtiin ensimmäisiä ...
    • Kielen tunnistus koneoppimismenetelmillä 

      Koskimies, Aino (2018-01-10)
      Koneoppimismenetelmien avulla aineistosta voidaan irrottaa piirteitä ja luokitella se eri luokkiin näiden piirteiden perusteella. Erilaisia piirteenirrotus- ja luokittelumenetelmiä hyödyntämällä on mahdollista esimerkiksi ...
    • Kuusentaimen automaattinen tunnistus kamerasovelluksena 

      Usenius, Olli (2017-06-07)
      Yksi nuorenmetsänhoidon koneellistamisen haasteista on koneiden työtehokkuus ja tuntikustannus verrattuna metsurin tekemään raivaussahatyöhön. Koneiden työtehon parantamiseksi vastuuta työskentelystä voisi tulevaisuudessa ...