Now showing items 669-688 of 1308

    • Labeling of faces in personal photo albums 

      Şener, Emre; Yücel, Utku Can; Aksoy, Sercan; Büyükgebiz, ibrahim; Uzun, Burak; Duygulu, Pınar (IEEE, 2013)
      In this study, we propose a system for organizing personal photo collections. Motivated with the fact that people related queries are the most desired ones, we propose a method for labeling faces in photographs. After ...
    • Laboratuar hayvanlarının davranışlarının görü tabanlı çözümlenmesi: 3 Boyutlu gradyan tabanlı bir yaklaşım 

      Sandıkçı, Selçuk; Duygulu-Şahin, Pınar; Özgüler, Arif Bülent (IEEE, 2009-04)
      In pharmacological experiments behavior pattern of laboratory mice, which are under the influence of psychotherapeutic drugs, reveals important clues about effects of the drug. Behavior analysis of laboratory mice by video ...
    • Land cover classification with multi-sensor fusion of partly missing data 

      Aksoy, S.; Koperski, K.; Tusk, C.; Marchisio, G. (American Society for Photogrammetry and Remote Sensing, 2009-05)
      We describe a system that uses decision tree-based tools for seamless acquisition of knowledge for classification of remotely sensed imagery. We concentrate on three important problems in this process: information fusion, ...
    • Language change quantification using time-separated parallel translations 

      Altintas, K.; Can F.; Patton J.M. (2007)
      We introduce a systematic approach to language change quantification by studying unconsciously used language features in time-separated parallel translations. For this purpose, we use objective style markers such as ...
    • Language runtime and optimizations in IBM streams 

      Schneider S.; Gedik, B.; Hirzel M. (IEEE, 2016)
      Stream processing is important for continuously transforming and analyzing the deluge of data that has revolutionized our world. Given the diversity of application domains, streaming applications must be both easy to ...
    • Large-scale cluster-based retrieval experiments on Turkish texts 

      Altıngövde, İsmail Şengör; Özcan, Rıfat; Öcalan Hüseyin C.; Can, Fazlı; Ulusoy, Özgür (ACM, 2007)
      We present cluster-based retrieval (CBR) experiments on the largest available Turkish document collection. Our experiments evaluate retrieval effectiveness and efficiency on both an automatically generated clustering ...
    • A large-scale sentiment analysis for Yahoo! Answers 

      Küçüktunç, O.; Cambazoğlu, B. B.; Weber, I.; Ferhatosmanoğlu, Hakan (ACM, 2012)
      Sentiment extraction from online web documents has recently been an active research topic due to its potential use in commercial applications. By sentiment analysis, we refer to the problem of assigning a quantitative ...
    • A layout algorithm for signaling pathways 

      Genc, B.; Dogrusoz, U. (Elsevier Inc., 2006-01-20)
      Visualization is crucial to the effective analysis of biological pathways. A poorly laid out pathway confuses the user, while a well laid out one improves the user's comprehension of the underlying biological phenomenon. ...
    • A layout algorithm for undirected compound graphs 

      Dogrusoz, U.; Giral, E.; Cetintas, A.; Civril, A.; Demir, E. (Elsevier Inc., 2009-03)
      We present an algorithm for the layout of undirected compound graphs, relaxing restrictions of previously known algorithms in regards to topology and geometry. The algorithm is based on the traditional force-directed layout ...
    • Learning adjectives and nouns from affordances on the iCub humanoid robot 

      Yürüten O.; Uyanık, Fırat; Çalişkan, Y.; Bozcuoǧlu, A.K.; Şahin, E.; Kalkan, Sinan (Springer, Berlin, Heidelberg, 2012)
      This article studies how a robot can learn nouns and adjectives in language. Towards this end, we extended a framework that enabled robots to learn affordances from its sensorimotor interactions, to learn nouns and adjectives ...
    • 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 ...
    • Learning differential diagnosis of erythemato-squamous diseases using voting feature intervals 

      Güvenir, H. A.; Demiröz, G.; İlter, N. (Elsevier, 1998)
      A new classification algorithm, called VFI5 (for Voting Feature Intervals), is developed and applied to problem of differential diagnosis of erythemato-squamous diseases. The domain contains records of patients with known ...
    • Learning feature-projection based classifiers 

      Dayanik, A. (Pergamon Press, 2012-03)
      This paper aims at designing better performing feature-projection based classification algorithms and presents two new such algorithms. These algorithms are batch supervised learning algorithms and represent induced ...
    • Learning interestingness of streaming classification rules 

      Aydın, Tolga; Güvenir, Halil Altay (Springer, Berlin, Heidelberg, 2004)
      Inducing classification rules on domains from which information is gathered at regular periods lead the number of such classification rules to be generally so huge that selection of interesting ones among all discovered ...
    • Learning problem solving strategies using refinement and macro generation 

      Güvenir, H. A.; Ernst, G. W. (Elsevier BV, 1990)
      In this paper we propose a technique for learning efficient strategies for solving a certain class of problems. The method, RWM, makes use of two separate methods, namely, refinement and macro generation. The former is a ...
    • Learning translation templates for closely related languages 

      Altıntaş, Kemal; Güvenir, H. Altay (Springer, Berlin, Heidelberg, 2003)
      Many researchers have worked on example-based machine translation and different techniques have been investigated in the area. In literature, a method of using translation templates learned from bilingual example pairs was ...
    • Learning translation templates from bilingual translation examples 

      Çiçekli, İlyas; Güvenir, Halil Altay (Springer, 2003)
      A mechanism for learning lexical correspondences between two languages from sets of translated sentence pairs is presented. These lexical level correspondences are learned using analogical reasoning between two translation ...
    • Learning translation templates from bilingual translation examples 

      Cicekli, I.; Güvenir, H. A. (Kluwer Academic Publishers, 2001-07)
      A mechanism for learning lexical correspondences between two languages from sets of translated sentence pairs is presented. These lexical level correspondences are learned using analogical reasoning between two translation ...
    • Learning translation templates from examples 

      Güvenır, H. A.; Cıceklı, I. (Elsevier, 1998)
      This paper proposes a mechanism for learning lexical level correspondences between two languages from a set of translated sentence pairs. The proposed mechanism is based on an analogical reasoning between two translation ...