Now showing items 21-40 of 57

    • From patch-level to ROI-level deep feature representations for breast histopathology classification 

      Mercan, Caner; Aksoy, Selim; Mercan, E.; Shapiro, L. G.; Weaver, D. L.; Elmore, J. G. (SPIE, 2019)
      We propose a framework for learning feature representations for variable-sized regions of interest (ROIs) in breast histopathology images from the convolutional network properties at patch-level. The proposed method involves ...
    • Haber videolarında ilgililik geribeslemesiyle içerik tabanlı erişim 

      Çavuş, Özge; Aksoy, Selim (IEEE, 2006-04)
      Content-based retrieval in news video databases has become an important task with the availability of large quantities of data in both public and proprietary archives. We describe a relevance feedback technique that captures ...
    • Hierarchical segmentation of complex structures 

      Akçay, H. Gökhan; Aksoy, Selim; Soille P. (IEEE, 2010)
      We present an unsupervised hierarchical segmentation algorithm for detection of complex heterogeneous image structures that are comprised of simpler homogeneous primitive objects. An initial segmentation step produces ...
    • Image classification and object detection using spatial contextual constraints 

      Aksoy, Selim; Cinbiş, R. Gökberk; Akçay, H. Gökhan (Taylor & Francis, 2012)
      Spatial information plays a very important role in high-level image understanding tasks. Contextual models that exploit spatial information through the quantification of region spatial relationships can be used for ...
    • Image classification using subgraph histogram representation 

      Özdemir, Bahadır; Aksoy, Selim (IEEE, 2010)
      We describe an image representation that combines the representational power of graphs with the efficiency of the bag-of-words model. For each image in a data set, first, a graph is constructed from local patches of interest ...
    • Image segmentation algorithms for land categorization 

      Aksoy, Selim; Tilton, J. C.; Tarabalka, Y. (Taylor & Francis, 2015)
      Image segmentation is the partitioning of an image into related meaningful sections or regions. Segmentation is the key ¦rst step for a number of image analysis approaches. Ÿe nature and quality of the image segmentation ...
    • Interactive training of advanced classifiers for mining remote sensing image archives 

      Aksoy, Selim; Koperski, K.; Tusk, C.; Marchisio G. (ACM, 2004)
      Advances in satellite technology and availability of down-loaded images constantly increase the sizes of remote sensing image archives. Automatic content extraction, classification and content-based retrieval have become ...
    • İçerik tabanlı görüntü erişimi için sahne sınıflandırması 

      Çavuş, Özge; Aksoy, Selim (IEEE, 2008-04)
      Son yıllarda çok geniş veri tabanlarının kullanımıyla birlikte içerik tabanlı görüntü indekslemesi ve erişimi önemli bir araştırma konusu halini almıştır. Bu çalışmada, görüntü indekslemesi için sahne sınıflandırmasını baz ...
    • Kentsel yapıların biçimbilimsel bölütlenmesi 

      Akçay, H. Gökhan; Aksoy, Selim (IEEE, 2007-06)
      Yüksek çözünürlükteki uzaktan algılamalı uydu görüntülerinde bölütleme kent uygulamalarında önemli bir problemdir çünkü elde edilen bölütlemelerle sınıflandırma için piksel tabanlı spektral bilginin yanında uzamsal ve ...
    • Konuma bağlı uzamsal ilişkilerin biçimbilimsel modellenmesi 

      Cinbiş, R. Gökberk; Aksoy, Selim (IEEE, 2007-06)
      Uzamsal bilgi, görüntü analizi modellerinde çok önemli bir yer tutmaktadır. Bu bildiride, ikili ve üçlü uzamsal ilişkileri bulmak için, matemaktiksel biçimbilim kullanarak, özelleştirilebilir, gerçekçi ve hızlı yöntemler ...
    • Learning bayesian classifiers for scene classification with a visual grammar 

      Aksoy, Selim; Koperski, K.; Tusk, C.; Marchisio, G.; Tilton J. C. (IEEE, 2005)
      A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of images. We describe a Bayesian framework for a visual grammar that ...
    • Learning bayesian classifiers for scene classification with a visual grammar 

      Aksoy, Selim; Koperski, K.; Tusk, C.; Marchisio, G.; Tilton, J. C. (IEEE, 2005-03)
      A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of images. We describe a Bayesian framework for a visual grammar that ...
    • Localization of diagnostically relevant regions of interest in whole slide images 

      Mercan, E.; Aksoy, Selim; Shapiro, L. G.; Weaver, D. L.; Brunye, T.; Elmore, J. G. (IEEE, 2014-08)
      Whole slide imaging technology enables pathologists to screen biopsy images and make a diagnosis in a digital form. This creates an opportunity to understand the screening patterns of expert pathologists and extract the ...
    • Maximum likelihood estimation of Gaussian mixture models using particle swarm optimization 

      Arı, Çağlar; Aksoy, Selim (IEEE, 2010-08)
      We present solutions to two problems that prevent the effective use of population-based algorithms in clustering problems. The first solution presents a new representation for arbitrary covariance matrices that allows ...
    • Mining of remote sensing image archives using spatial relationship histograms 

      Kalaycılar, Fırat; Kale, Aslı; Zamalieva, Daniya; Aksoy, Selim (IEEE, 2008-07)
      We describe a new image representation using spatial relationship histograms that extend our earlier work on modeling image content using attributed relational graphs. These histograms are constructed by classifying the ...
    • Modeling of remote sensing image content using attributed relational graphs 

      Aksoy, Selim (Springer, 2006-08)
      Automatic content modeling and retrieval in remote sensing image databases are important and challenging problems. Statistical pattern recognition and computer vision algorithms concentrate on feature-based analysis and ...
    • Modeling urban structures using graph-based spatial patterns 

      Doǧrusöz, Emel; Aksoy, Selim (IEEE, 2007-07)
      We introduce a new method for modeling the spatial arrangements of geospatial objects. As opposed to the existing approaches that are based on classifying images using pixel level methods, we propose to use objects as ...
    • Morphological segmentation of urban structures 

      Akçay, H. Gökhan; Aksoy, Selim (IEEE, 2007-04)
      Automatic segmentation of high-resolution remote sensing imagery is an important problem in urban applications because the resulting segmentations can provide valuable spatial and structural information that are complementary ...
    • Multi-instance multi-label learning for multi-class classification of whole slide breast histopathology images 

      Mercan, C.; Aksoy, Selim; Mercan, E.; Shapiro, L. G.; Weaver, D. L.; Elmore, J. G. (Institute of Electrical and Electronics Engineers, 2018)
      Digital pathology has entered a new era with the availability of whole slide scanners that create the high-resolution images of full biopsy slides. Consequently, the uncertainty regarding the correspondence between the ...
    • Multi-instance multi-label learning for whole slide breast histopathology 

      Mercan, Caner; Mercan, E.; Aksoy, Selim; Shapiro, L. G.; Weaver, D. L.; Elmore, J. G. (International Society for Optical Engineering SPIE, 2016-02-03)
      Digitization of full biopsy slides using the whole slide imaging technology has provided new opportunities for understanding the diagnostic process of pathologists and developing more accurate computer aided diagnosis ...