Now showing items 1-20 of 30

    • 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 ...
    • 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 ...
    • 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 ...
    • 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, ...
    • 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 ...
    • Lens Array Based Techniques for 3D Scene Capture and Display 

      Akpinar, Ugur (2017-10-04)
      This thesis discusses the use of lens arrays for both capture and display of 3D visual scenes while utilizing the ray optics formalism for modeling the propagation of light. In 3D capture, the use of lens arrays brings the ...
    • Low Latency High-definition Video Streaming for Real-time Teleoperation Platform 

      Laine, Joona (2017-06-07)
      Teleoperation is the remote controlling of machines using a real-time video stream to support the controlling decisions. The key components of a teleoperation system are video streaming through a network to enable the ...
    • Multilingual Sentiment Analysis as Product Reputation Insight 

      Mushtaq, Muhammad Adnan (2018-01-10)
      A vast amount of textual data is continually being generated every day and available across the internet. By utilizing this ‘big data’ we can deduct meaningful information from its contents. One of the major tasks of Natural ...
    • Natural Language Syntactic Parsing with Neural Networks 

      Pasanen, Jaakko (2017-12-07)
      Conversational user interfaces have made strong appearance during the last couple of years. Most growth with conversational UIs can be seen with customer service moving from phone to chat. As big as the hype surrounding ...
    • Object Tracking in Video Sequences 

      Rintala, Sebastian (2017-05-03)
      Tässä diplomityössä vertaillaan konenäössä käytettyjen SIFT-, SURF- ja ORB-algoritmia objektin seurannassa. Tutkimuksen tavoitteena on tarkastella algoritmien soveltuvuutta erityyppisille videoille ja erilaisiin ...
    • Physical size of microphone arrays in ad-hoc beamforming 

      Tinakari, Aki (2017-12-07)
      Microphone arrays can be used to record an event, for example speech during a meeting in meeting room setting. Besides the wanted signal, the speech, these audio recordings also have noise in them that is caused by various ...