Now showing items 1-7 of 7

    • Diverse relevance feedback for time series with autoencoder based summarizations 

      Eravci, B.; Ferhatosmanoglu, H. (IEEE Computer Society, 2018)
      We present a relevance feedback based browsing methodology using different representations for time series data. The outperforming representation type, e.g., among dual-tree complex wavelet transformation, Fourier, symbolic ...
    • Diversity based Relevance Feedback for Time Series Search 

      Eravci, B.; Ferhatosmanoglu H. (2013)
      We propose a diversity based relevance feedback approach for time series data to improve the accuracy of search results. We first develop the concept of relevance feedback for time series based on dual-tree complex wavelet ...
    • Elicitation and use of relevance feedback information 

      Vechtomova, O.; Karamuftuoglu, M. (Elsevier Ltd, 2006-01)
      The paper presents two approaches to interactively refining user search formulations and their evaluation in the new High Accuracy Retrieval from Documents (HARD) track of TREC-12. The first method consists of asking the ...
    • Query expansion with terms selected using lexical cohesion analysis of documents 

      Vechtomova, O.; Karamuftuoglu, M. (Elsevier Ltd, 2007-07)
      We present new methods of query expansion using terms that form lexical cohesive links between the contexts of distinct query terms in documents (i.e., words surrounding the query terms in text). The link-forming terms ...
    • A relevance feedback technique for multimodal retrieval of news videos 

      Aksoy, Selim; Çavuş Özge (IEEE, 2005-11)
      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 ...
    • Semantic scene classification for content-based image retrieval 

      Çavuş, Özge (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 ...
    • Sparsity Based Image Retrieval using relevance feedback 

      Günay, Osman; Çetin, A. Enis (IEEE, 2012)
      In this paper, a Content Based Image Retrieval (CBIR) algorithm employing relevance feedback is developed. After each round of user feedback Biased Discriminant Analysis (BDA) is utilized to find a transformation that best ...