Search Results - "Yalcinkaya, Ozge"

  • Showing 1 - 9 results of 9
Refine Results
  1. 1

    Autophagy-related gene, TdAtg8, in wild emmer wheat plays a role in drought and osmotic stress response by Kuzuoglu-Ozturk, Duygu, Yalcinkaya, Ozge Cebeci, Akpinar, Bala Ani, Mitou, Geraldine, Korkmaz, Gozde, Gozuacik, Devrim, Budak, Hikmet

    Published in Planta (01-10-2012)
    “…An autophagy-related gene Atg8 was cloned for the first time from wild emmer wheat, named as TdAtg8, and its role on autophagy under abiotic stress conditions…”
    Get full text
    Journal Article
  2. 2

    I-ME: iterative model evolution for learning from weakly labeled images and videos by Yalcinkaya, Ozge, Golge, Eren, Duygulu, Pinar

    Published in Machine vision and applications (01-07-2020)
    “…A significant bottleneck in building large-scale systems for image and video categorization is the requirement of labeled data. Manual labeling effort could be…”
    Get full text
    Journal Article
  3. 3
  4. 4
  5. 5

    Learning actionness from action/background discrimination by Yalcinkaya Simsek, Ozge, Russakovsky, Olga, Duygulu, Pinar

    Published in Signal, image and video processing (01-06-2023)
    “…Localizing actions in instructional web videos is a complex problem due to background scenes that are unrelated to the task described in the video. Wrong…”
    Get full text
    Journal Article
  6. 6

    Action recognition with prototypes by Yalcinkaya, Ozge, Duygulu, Pinar

    “…Action recognition is a widely studied problem and many solutions have been introduced over the years. However, classification with weakly-labeled large scale…”
    Get full text
    Conference Proceeding
  7. 7

    Turkish sign language recognition application using Motion History Image by Yalcinkaya, Ozge, Atvar, Anil, Duygulu, Pinar

    “…Recognizing sign language is an important interest area since there are many speech and hearing impaired people in the world. They need to be understood by…”
    Get full text
    Conference Proceeding
  8. 8

    Evaluation of Joint Multi-Instance Multi-Label Learning For Breast Cancer Diagnosis by Gecer, Baris, Yalcinkaya, Ozge, Tasar, Onur, Aksoy, Selim

    Published 10-10-2015
    “…Multi-instance multi-label (MIML) learning is a challenging problem in many aspects. Such learning approaches might be useful for many medical diagnosis…”
    Get full text
    Journal Article
  9. 9

    Prototypes: Exemplar Based Video Representation by Yalçınkaya, Özge

    Published 01-01-2016
    “…Recognition of actions from videos is a widely studied problem and there have been many solutions introduced over the years. Labeling of the training data that…”
    Get full text
    Dissertation