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Showing 1 to 8 of 8 for “"Bag of Features"”.

  1. Local, Semi-Local and Global Models for Texture, Object and Scene Recognition

    This dissertation addresses the problems of recognizing textures, objects, and scenes in photographs. We present approaches to these recognition tasks that combine salient local image features with spatial relations and effective discriminative learning techniques. First, we introduce a bag of

    uiuc Repository record for Local, Semi-Local and Global Models for Texture, Object and Scene Recognition (opens in a new tab)

  2. Recherche d'images et classification par mots visuels et descripteurs flous

    L'approche Bag of Visual Words (ou Bag of Features) décrit une image comme un ensemble de descripteurs locaux à l'aide d'un histogramme. Chaque groupe de l'histogramme représente l'importance d'un motif visuel (appelé mot visuel) dans l'image. Cette méthode d'indexation a été fréquemment utilisée …

    moncton Repository record for Recherche d'images et classification par mots visuels et descripteurs flous (opens in a new tab)

  3. On Optimal Quantization and its Effect on Anomaly Detection and Image Classification

    This thesis presents the use of density estimation for performing data classification in different applications such as stream processing as well as image classification. The first half of this thesis presents a system that can process and analyze streaming data and extract the time frames that …

    columbia-diss Repository record for On Optimal Quantization and its Effect on Anomaly Detection and Image Classification (opens in a new tab)

  4. Analysis of breast tissue microarray spots

    … technique that facilitates the survey of very large numbers of tumours, important both in clinical and research applications. However, the assessment of stained TMA sections is laborious and still needs to be carried manually, constituting a bottleneck in the pathologist?s work-flow. …

    dundee Repository record for Analysis of breast tissue microarray spots (opens in a new tab)

  5. Recognising and localising human actions

    … research area. Given the growing number of cameras and robots pointing their lenses at humans, the need for automatic recognition of human actions arises, promising Google-style video search and automatic video summarisation/description. Furthermore, for any autonomous robotic system to …

    oxford-brookes Repository record for Recognising and localising human actions (opens in a new tab)

  6. Automatic Recognition of Buruli Ulcer Images on Smart Handheld Devices

    … infection that each year affects thousands of people in tropical and subtropical regions. Clinically, BU usually starts as a painless subcutaneous nodule, or as other pre-ulcer forms including papule, plaque, and edema; then it evolves into a painless ulcer, and finally leads to extensive …

    houston Repository record for Automatic Recognition of Buruli Ulcer Images on Smart Handheld Devices (opens in a new tab)

  7. Sparse modeling of high-dimensional data for learning and vision

    Sparse representations account for most or all of the information of a signal by a linear combination of a few elementary signals called atoms, and have increasingly become recognized as providing high performance for applications as diverse as noise reduction, compression, inpainting, compressive …

    uiuc Repository record for Sparse modeling of high-dimensional data for learning and vision (opens in a new tab)