Zobrazeno 1 - 10
of 5 441
pro vyhledávání: '"P, Govindan"'
Autor:
Karim, Md Faizal, Bollimuntha, Shreya, Hashmi, Mohammed Saad, Das, Autrio, Singh, Gaurav, Sridhar, Srinath, Singh, Arun Kumar, Govindan, Nagamanikandan, Krishna, K Madhava
Dual-arm manipulation is an area of growing interest in the robotics community. Enabling robots to perform tasks that require the coordinated use of two arms, is essential for complex manipulation tasks such as handling large objects, assembling comp
Externí odkaz:
http://arxiv.org/abs/2410.19712
Despite efforts from cloud and content providers to lower latency to acceptable levels for current and future services (e.g., augmented reality or cloud gaming), there are still opportunities for improvement. A major reason that traffic engineering e
Externí odkaz:
http://arxiv.org/abs/2410.13019
Autor:
Siyu, Lin, Zhou, Haowen, Cote, Richard J., Watson, Mark, Govindan, Ramaswamy, Yang, Changhuei
In recent years, deep neural networks (DNNs) have demonstrated remarkable performance in pathology applications, potentially even outperforming expert pathologists due to their ability to learn subtle features from large datasets. One complication in
Externí odkaz:
http://arxiv.org/abs/2409.08338
End-to-end neural diarization (EEND) models offer significant improvements over traditional embedding-based Speaker Diarization (SD) approaches but falls short on generalizing to long-form audio with large number of speakers. EEND-vector-clustering m
Externí odkaz:
http://arxiv.org/abs/2406.18679
Autor:
Zhou, Haowen, Steven, Lin, Watson, Mark, Bernadt, Cory T., Zhang, Oumeng, Govindan, Ramaswamy, Cote, Richard J., Yang, Changhuei
Deep learning assisted digital pathology has the potential to impact clinical practice in significant ways. In recent studies, deep neural network (DNN) enabled analysis outperforms human pathologists. Increasing sizes and complexity of the DNN archi
Externí odkaz:
http://arxiv.org/abs/2406.00555
Autor:
Singh, Gaurav, Kalwar, Sanket, Karim, Md Faizal, Sen, Bipasha, Govindan, Nagamanikandan, Sridhar, Srinath, Krishna, K Madhava
Efficiently generating grasp poses tailored to specific regions of an object is vital for various robotic manipulation tasks, especially in a dual-arm setup. This scenario presents a significant challenge due to the complex geometries involved, requi
Externí odkaz:
http://arxiv.org/abs/2404.04643
We present an analog of O'Neill's Theorem (Theorem 5.2 in [17]) for finite games, which reveals some of the structure of equilibria under payoff perturbations in finite games.
Externí odkaz:
http://arxiv.org/abs/2312.03392
Autor:
Namyar, Pooria, Arzani, Behnaz, Beckett, Ryan, Segarra, Santiago, Raj, Himanshu, Krishnaswamy, Umesh, Govindan, Ramesh, Kandula, Srikanth
Production systems use heuristics because they are faster or scale better than their optimal counterparts. Yet, practitioners are often unaware of the performance gap between a heuristic and the optimum or between two heuristics in realistic scenario
Externí odkaz:
http://arxiv.org/abs/2311.12779
Autor:
Namyar, Pooria, Arzani, Behnaz, Kandula, Srikanth, Segarra, Santiago, Crankshaw, Daniel, Krishnaswamy, Umesh, Govindan, Ramesh, Raj, Himanshu
We consider the max-min fair resource allocation problem. The best-known solutions use either a sequence of optimizations or waterfilling, which only applies to a narrow set of cases. These solutions have become a practical bottleneck in WAN traffic
Externí odkaz:
http://arxiv.org/abs/2310.09699
Autor:
Park, Seo Jin, Govindan, Ramesh, Shen, Kai, Culler, David, Özcan, Fatma, Kim, Geon-Woo, Levy, Hank
Traditional cluster designs were originally server-centric, and have evolved recently to support hardware acceleration and storage disaggregation. In applications that leverage acceleration, the server CPU performs the role of orchestrating computati
Externí odkaz:
http://arxiv.org/abs/2309.12665