Now showing items 1-3 of 3

    • Analytical study of color spaces for object recognition in convolutional neural networks 

      Oza, Urvi (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      In this work we present an analytical study of the classical problem of image recognition / classification using different color spaces and deep convolutional neural networks(CNNs). In the current decade deep CNN architectures ...
    • Environmental Sound Classification (ESC) using Handcrafted and Learned Features 

      Agrawal, Dharmeshkumar Maheshchandra (Dhirubhai Ambani Institute of Information and Communication Technology, 2017)
      "Environmental Sound Classification (ESC) is an important research field due to its application in various field such as hearing aids, road surveillance system for security and safety purpose, etc. ESC task was earlier ...
    • Object Recognition using Self Learned Features 

      Parikh, Ketul D. (Dhirubhai Ambani Institute of Information and Communication Technology, 2016)
      A great deal of research has been centered around developing algorithms forlearning features from unlabelled information. Much advance has been made onbenchmark datasets by utilizing progressively complex unsupervised ...