Advisors
Now showing items 21-28 of 28
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Semantic scene classification for content-based image retrieval
(Bilkent University, 2008)Content-based image indexing and retrieval have become important research problems with the use of large databases in a wide range of areas. Because of the constantly increasing complexity of the image content, low-level ... -
Structural scene analysis of remotely sensed images using graph mining
(Bilkent University, 2010)The need for intelligent systems capable of automatic content extraction and classi cation in remote sensing image datasets, has been constantly increasing due to the advances in the satellite technology and the availability ... -
Style synthesizing conditional generative adversarial networks
(Bilkent University, 2020-01)Neural style transfer (NST) models aim to transfer a particular visual style to a image while preserving its content using neural networks. Style transfer models that can apply arbitrary styles without requiring style-specific ... -
Unsupervised detection of compound structures using image segmentation and graph-based texture analysis
(Bilkent University, 2009)The common goal of object-based image analysis techniques in the literature is to partition the images into homogeneous regions and classify these regions. However, such homogeneous regions often correspond to very small ... -
Unsupervised segmentation and ordering of cervical cells : Serviks hücrelerinin öğreticisiz olarak bölütlenmesi ve sıralanması
(Bilkent University, 2014)Cervical cancer is the second most common cause of cancer death among women worldwide, and it can be prevented if it is detected and treated in the precancerous stages. Pap smear test is a common, efficient and easy ... -
Use of subgraph mining in histopathology image classification
(Bilkent University, 2022-09)Breast cancer is the most common cancer in women and has a high mortality rate. Computer vision techniques can be used to help experts to analyze the breast cancer biopsy samples better. Graph neural networks (GNN) have ... -
Using shape information from natural tree landmarks for improving SLAM performance
(Bilkent University, 2012)Localization and mapping are crucial components for robotic autonomy. However, such robots must often function in remote, outdoor areas with no a-priori knowledge of the environment. Consequently, it becomes necessary ... -
Weakly supervised approaches for image classification in remote sensing and medical image analysis
(Bilkent University, 2020-12)Weakly supervised learning (WSL) aims to utilize data with imprecise or noisy annotations to solve various learning problems. We study WSL approaches in two different domains: remote sensing and medical image analysis. For ...
