Skip to main content

4 Result(s)

within R Raghunatha Sarma Remove this filter

and

  1. No Access

    Article

    Learning compositional capsule networks

    Objects in the visual field are perceived to have an inherent structure that is seen in the way that they are constructed from their components. For example, a face requires its parts to be arranged in a certa...

    Sai Raam Venkataraman, S Balasubramanian, Ankit Anand, R Raghunatha Sarma in Sādhanā (2024)

  2. No Access

    Article

    LayerOut: Freezing Layers in Deep Neural Networks

    Deep networks involve a huge amount of computation during the training phase and are prone to over-fitting. To ameliorate these, several conventional techniques such as DropOut, DropConnect, Guided Dropout, St...

    Kelam Goutam, S. Balasubramanian, Darshan Gera, R. Raghunatha Sarma in SN Computer Science (2020)

  3. No Access

    Chapter

    Predictive Analysis in Chiari Malformation Type I

    It has become increasingly accepted that the various facets of medicine are not deterministic. Clinicians must weigh not just a set of fixed benchmarks while determining optimal patient care but must also inco...

    Sumit Thakar, Saritha Aryan, Subramaniyan Mani… in The Chiari Malformations (2020)

  4. No Access

    Chapter and Conference Paper

    Segmentation and Classification of CT Renal Images Using Deep Networks

    The study of deep learning (LeCun et al. in Nature 521(7553):436, 2015 [1]) models, in particular, the convolutional neural networks (CNN), is playing a key role for various applications in medical domain since l...

    Anil Kumar Reddy, Sai Vikas, R. Raghunatha Sarma… in Soft Computing and Signal Processing (2019)