Browsing E-print Articles by Title

Browsing E-print Articles by Title

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  • Agarwal, Deepesh; Srivastava, Pravesh; Martin-del-Campo, Sergio; Natarajan, Balasubramaniam; Srinivasan, Babji (Cornell University Library, 2021-10)
    Active Learning (AL) is a powerful tool to address modern machine learning problems with significantly fewer labeled training instances. However, implementation of traditional AL methodologies in practical scenarios is ...
  • Nayak, Aradhana; Banavar, Ravi; Maithripala, D. H. S. (Cornell University Library, 2017-03)
    Almost-global orientation trajectory tracking for a rigid body with external actuation has been well studied in the literature, and in the geometric setting as well. The tracking control law relies on the fact that a rigid ...
  • Devaraddi, Veerendra S.; Mekie, Joycee (Cornell University Library, 2021-08)
    Digital In-memory computing improves energy efficiency and throughput of a data-intensive process, which incur memory thrashing and, resulting multiple same memory accesses in a von Neumann architecture. Digital in-memory ...
  • Venkatesh, Praveen; Vadhvana, Sanket; Jain, Varun (Cornell University Library, 2021-06)
    In this paper, we model the planar motion of a quadcopter, and develop a linear model of the same. We perform stability analysis of the open loop system and develop a PD controller for its position control. We compare the ...
  • Gangopadhyay, Aalok; Singh, Prajwal; Raman, Shanmuganathan (Cornell University Library, 2021-01)
    Automatic extraction of raw data from 2D line plot images is a problem of great importance having many real-world applications. Several algorithms have been proposed for solving this problem. However, these algorithms ...
  • Nagar, Rajendra; Raman, Shanmuganathan (Cornell University Library, 2017-06)
    We propose an algorithm to detect approximate reflection symmetry present in a set of volumetrically distributed points belonging to Rd containing a distorted reflection symmetry pattern. We pose the problem of detecting ...
  • Patil, Rohan; Dave, Raviraj; Patel, Harsh; Shah, Viraj M.; Chakrabarti, Deep; Bhatia, Udit (Cornell University Library, 2020-09)
  • Raj, Nidhish; Banavar, Ravi; Abhishek; Kothari, Mangal (Cornell University Library, 2017-03)
    We consider the problem of attitude tracking for small-scale aerobatic helicopters. A small scale helicopter has two subsystems: the fuselage, modeled as a rigid body; and the rotor, modeled as a first order system. Due ...
  • Tewari, Atal; Verma, Vinay; Srivastava, Pradeep; Jain, Vikrant; Khanna, Nitin (Cornell University Library, 2020-12)
    Impact craters are formed as a result of continuous impacts on the surface of planetary bodies. This paper proposes a novel way of simultaneously utilizing optical images, digital elevation maps (DEMs), and slope maps for ...
  • Patil, Akshay Gadi; Raman, Shanmuganathan (Cornell University Library, 2016-04)
    Non-photorealistic rendering techniques work on image features and often manipulate a set of characteristics such as edges and texture to achieve a desired depiction of the scene. Most computational photography methods ...
  • Malireddi, Sri Raghu; Raman, Shanmuganathan (Cornell University Library, 2016-04)
    Automatic segmentation of objects from a single image is a challenging problem which generally requires training on large number of images. We consider the problem of automatically segmenting only the dynamic objects from ...
  • Chavan, Tanmay; Dutta, Sangya; Mohapatra, Nihar Ranjan; Ganguly, Udayan (Cornell University Library, 2019-02)
    The human brain comprises about a hundred billion neurons connected through quadrillion synapses. Spiking Neural Networks (SNNs) take inspiration from the brain to model complex cognitive and learning tasks. Neuromorphic ...
  • Verma, Vinay; Singh, Deepak; Khanna, Nitin (Cornell University Library, 2020-03)
  • Agarwal, Tarun; Lee, Youseung; Luisier, Mathieu (Cornell University Library, 2021-04)
    The continuous scaling of semiconductor technology has pushed the footprint of logic devices below 50 nm. Currently, logic standard cells with one single fin are being investigated to increase the integration density, ...
  • Rajpura, Param; Goyal, Manik; Hegde, Ravi S.; Bojinov, Hristo (Cornell University Library, 2017-09)
    Although Deep Convolutional Neural Networks trained with strong pixel-level annotations have significantly pushed the performance in semantic segmentation, annotation efforts required for the creation of training data ...
  • Raman, Shanmuganathan; Sheth, Kshiteej (Cornell University Library, 2016-09)
  • Hanindriyo, Adie Tri; Yadav, Amit Kumar Singh; Ichibha, Tom; Maezono, Ryo; Nakano, Kousuke; Hongo, Kenta (Cornell University Library, 2020-10)
    The disiloxane molecule is a prime example of silicate compounds containing the Si-O-Si bridge, which is of great interest within the field of quantum chemistry, due to the difficulty in theoretically predicting its ...
  • Salvi, Govind; Sharma, Puneet; Raman, Shanmuganathan (Cornell University Library, 2013-05)
    Most of the real world scenes have a very high dynamic range (HDR). The mobile phone cameras and the digital cameras available in markets are limited in their capability in both the range and spatial resolution. Same ...
  • Joshi, Sharad; Korus, Pawel; Khanna, Nitin; Memon, Nasir (Cornell University Library, 2020-04)
    We assess the variability of PRNU-based camera fingerprints with mismatched imaging pipelines (e.g., different camera ISP or digital darkroom software). We show that camera fingerprints exhibit non-negligible variations ...
  • Kanojia, Gagan; Kumawat, Sudhakar; Raman, Shanmuganathan (Cornell University Library, 2019-09)
    Traditional 3D convolutions are computationally expensive, memory intensive, and due to large number of parameters, they often tend to overfit. On the other hand, 2D CNNs are less computationally expensive and less memory ...

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