Zobrazeno 1 - 10
of 30 725
pro vyhledávání: '"A Ramalingam"'
It is well known that there is a somewhat mysterious relation between the area of the quartic Fermat curve $x^4+y^4=1$, aka squircle, and the arc length of the lemniscate $(x^2+y^2)^2=x^2-y^2$. The standardproof of this fact uses relations between el
Externí odkaz:
http://arxiv.org/abs/2411.19864
Autor:
Mitard, Jerome, Kljucar, Luka, Rassoul, Nouredine, Dekkers, Harold, van Setten, Michiel, Chasin, Adrian Vaisman, Pourtois, Geoffrey, Belmonte, Attilio, Donadio, Gabriele Luca, Goux, Ludovic, Mao, Ming, Puliyalil, Harinarayanan, Teugels, Lieve, Tsvetanova, Diana, Nag, Manoj, Steudel, Soeren, Borniquel, Jose Ignacio del Agua, Ramalingam, Jothilingam, Delhougne, Romain, Wilson, Chris J., Tokei, Zsolt, Kar, Gouri Sankar
Publikováno v:
ECS Trans. 98 205 (2020)
Back and double gate IGZO nFETs have been demonstrated down to 120nm and 70nm respectively leveraging 300mm fab processing. While the passivation of oxygen vacancies in IGZO is challenging with an integration of front side gate, a scaled back gated f
Externí odkaz:
http://arxiv.org/abs/2411.16299
Autor:
Fahrbach, Matthew, Ramalingam, Srikumar, Zadimoghaddam, Morteza, Ahmadian, Sara, Citovsky, Gui, DeSalvo, Giulia
We propose a novel subset selection task called min-distance diverse data summarization ($\textsf{MDDS}$), which has a wide variety of applications in machine learning, e.g., data sampling and feature selection. Given a set of points in a metric spac
Externí odkaz:
http://arxiv.org/abs/2405.18754
Machine learning has become an effective tool for automatically annotating unstructured data (e.g., images) with structured labels (e.g., object detections). As a result, a new programming paradigm called neurosymbolic programming has emerged where u
Externí odkaz:
http://arxiv.org/abs/2405.15912
Publikováno v:
IEEE Transactions on Information Forensics and Security, vol.15, no.1, pp. 487 to 499 (2019)
In automatic signature verification, questioned specimens are usually compared with reference signatures. In writer-dependent schemes, a number of reference signatures are required to build up the individual signer model while a writer-independent sy
Externí odkaz:
http://arxiv.org/abs/2405.14409
The study aims to highlight the growth and development of Indo-German collaborative research over the past three decades. Moreover, this study encompasses an in-depth examination of funding acknowledgements to gain valuable insights into the financia
Externí odkaz:
http://arxiv.org/abs/2404.17171
Autor:
Böther, Maximilian, Sebastian, Abraham, Awasthi, Pranjal, Klimovic, Ana, Ramalingam, Srikumar
Many learning problems hinge on the fundamental problem of subset selection, i.e., identifying a subset of important and representative points. For example, selecting the most significant samples in ML training cannot only reduce training costs but a
Externí odkaz:
http://arxiv.org/abs/2402.16442
Recent breakthroughs and successful deployment of large language and vision models in a constrained environment predominantly follow a two phase approach. First, large models are trained to achieve peak performance, followed by a model shrinking meth
Externí odkaz:
http://arxiv.org/abs/2402.05033
Autor:
Yenduri, Gokul, M, Ramalingam, Maddikunta, Praveen Kumar Reddy, Gadekallu, Thippa Reddy, Jhaveri, Rutvij H, Bandi, Ajay, Chen, Junxin, Wang, Wei, Shirawalmath, Adarsh Arunkumar, Ravishankar, Raghav, Wang, Weizheng
Spatial computing is a technological advancement that facilitates the seamless integration of devices into the physical environment, resulting in a more natural and intuitive digital world user experience. Spatial computing has the potential to becom
Externí odkaz:
http://arxiv.org/abs/2402.07912
The success of deep learning hinges on enormous data and large models, which require labor-intensive annotations and heavy computation costs. Subset selection is a fundamental problem that can play a key role in identifying smaller portions of the tr
Externí odkaz:
http://arxiv.org/abs/2312.10602