• Testing Embedded Software: A Survey Of The Literature 

      Garousi, Vahid; Felderer, Michael; Karapicak, Cagri Murat; Yilmaz, Ugur (Elsevier Science Bv, 2018)
      Context Embedded systems have overwhelming penetration around the world. Innovations are increasingly triggered by software embedded in automotive, transportation, medical-equipment, communication, energy, and many other ...
    • Tree Structured Dirichlet Processes For Hierarchical Morphological Segmentation 

      Can, Burcu; Manandhar, Suresh (Mit Press, 2018)
      This article presents a probabilistic hierarchical clustering model for morphological segmentation. In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of word ...
    • Two-Person Interaction Recognition Via Spatial Multiple Instance Embedding 

      Sener, Fadime; Ikizler-Cinbis, Nazli (Academic Press Inc Elsevier Science, 2015)
      In this work, we look into the problem of recognizing two-person interactions in videos. Our method integrates multiple visual features in a weakly supervised manner by utilizing an embedding-based multiple instance learning ...
    • Use Of Acoustic Prior Information For Confidence Measure In Asr (Automatic Speech Recognition) Applications 

      Mengusoglu, E; Ris, C (Acoustical Soc Amer Amer Inst Physics, 2005)
      In this paper, a new acoustic confidence measure of automatic speech recognition hypothesis is proposed and it is compared to approaches proposed in the literature. This approach takes into account prior information on the ...
    • Visual Saliency Estimation By Nonlinearly Integrating Features Using Region Covariances 

      Erdem, Erkut; Erdem, Aykut (Assoc Research Vision Ophthalmology Inc, 2013)
      To detect visually salient elements of complex natural scenes, computational bottom-up saliency models commonly examine several feature channels such as color and orientation in parallel. They compute a separate feature ...
    • Volumetric Object Recognition Using 3-D Cnns On Depth Data 

      Caglayan, Ali; Can, Ahmet Burak (Ieee-Inst Electrical Electronics Engineers Inc, 2018)
      Recognizing 3-D objects has a wide range of application areas from autonomous robots to self-driving vehicles. The popularity of low-cost RGB-D sensors has enabled a rapid progress in 3-D object recognition in the recent ...