Zobrazeno 1 - 10
of 6 267
pro vyhledávání: '"Balamurugan P."'
Detecting anomalies in brain MRI scans using supervised deep learning methods presents challenges due to anatomical diversity and labor-intensive requirement of pixel-level annotations. Generative models like Denoising Diffusion Probabilistic Model (
Externí odkaz:
http://arxiv.org/abs/2409.19623
Entity Matching (EM) is crucial for identifying equivalent data entities across different sources, a task that becomes increasingly challenging with the growth and heterogeneity of data. Blocking techniques, which reduce the computational complexity
Externí odkaz:
http://arxiv.org/abs/2409.16410
Autor:
Mehta, Shaunak A., Ciftci, Yusuf Umut, Ramachandran, Balamurugan, Bansal, Somil, Losey, Dylan P.
Behavior cloning is a common imitation learning paradigm. Under behavior cloning the robot collects expert demonstrations, and then trains a policy to match the actions taken by the expert. This works well when the robot learner visits states where t
Externí odkaz:
http://arxiv.org/abs/2408.06246
Autor:
Anitha B., Balamurugan P.
Publikováno v:
E3S Web of Conferences, Vol 387, p 05007 (2023)
Developing number sequence based on polygonal numbers is an enthusiastic field in number theory. As tetrahedral numbers are similar to pyramids, one of the Seven wonders of the World, yields a unique copiousness in its suitability. In number theory s
Externí odkaz:
https://doaj.org/article/ff3e34ae67f943009cbce11b350b7eee
Autor:
Hu, Muyan, Venkatram, Ashwin, Biswas, Shreyashri, Marimuthu, Balamurugan, Hou, Bohan, Oliaro, Gabriele, Wang, Haojie, Zheng, Liyan, Miao, Xupeng, Zhai, Jidong
Publikováno v:
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems 3 (2024) 755-769
Kernel orchestration is the task of mapping the computation defined in different operators of a deep neural network (DNN) to the execution of GPU kernels on modern hardware platforms. Prior approaches optimize kernel orchestration by greedily applyin
Externí odkaz:
http://arxiv.org/abs/2406.09465
Autor:
Deb, Souvik, Rathod, Megh, Balamurugan, Rishi, Ghosh, Shankar K., Singh, Rajeev K., Sanyal, Samriddha
To enhance the handover performance in fifth generation (5G) cellular systems, conditional handover (CHO) has been evolved as a promising solution. Unlike A3 based handover where handover execution is certain after receiving handover command from the
Externí odkaz:
http://arxiv.org/abs/2403.04379
This technical report details our work towards building an enhanced audio-visual sound event localization and detection (SELD) network. We build on top of the audio-only SELDnet23 model and adapt it to be audio-visual by merging both audio and video
Externí odkaz:
http://arxiv.org/abs/2401.17129
We present 3DiFACE, a novel method for personalized speech-driven 3D facial animation and editing. While existing methods deterministically predict facial animations from speech, they overlook the inherent one-to-many relationship between speech and
Externí odkaz:
http://arxiv.org/abs/2312.00870
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract In the domain of passive brain-computer interface applications, the identification of emotions is both essential and formidable. Significant research has recently been undertaken on emotion identification with electroencephalogram (EEG) data
Externí odkaz:
https://doaj.org/article/86e63fd897de41c8ab0a0e01eb9bc24e
Autor:
Mohammad Sidiq, Aksh Chahal, Jyoti Sharma, Richa Hirendra Rai, Faizan Zaffar Kashoo, Jayaprakash Jayavelu, Neha Kashyap, Krishna Reddy Vajrala, T. S. Veeragoudhaman, Vinitha Arasu, Balamurugan Janakiraman
Publikováno v:
Chiropractic & Manual Therapies, Vol 32, Iss 1, Pp 1-14 (2024)
Abstract Background The Foot Function Index (FFI) is a reliable and widely used standardized questionnaire that measures the impact of foot pathology on function. With 571 million Hindi-speaking people living globally and an increasing incidence of f
Externí odkaz:
https://doaj.org/article/a8bf27f6f8e94a4fa2f19c1e1e7ca363