Zobrazeno 1 - 10
of 4 657
pro vyhledávání: '"A. Azizian"'
Autor:
Huynh, Marie, Kline, Aaron, Surabhi, Saimourya, Dunlap, Kaitlyn, Mutlu, Onur Cezmi, Honarmand, Mohammadmahdi, Azizian, Parnian, Washington, Peter, Wall, Dennis P.
Early detection of autism, a neurodevelopmental disorder marked by social communication challenges, is crucial for timely intervention. Recent advancements have utilized naturalistic home videos captured via the mobile application GuessWhat. Through
Externí odkaz:
http://arxiv.org/abs/2408.13255
In this paper, we examine the long-run distribution of stochastic gradient descent (SGD) in general, non-convex problems. Specifically, we seek to understand which regions of the problem's state space are more likely to be visited by SGD, and by how
Externí odkaz:
http://arxiv.org/abs/2406.09241
Stochastic gradient methods are among the most important algorithms in training machine learning problems. While classical assumptions such as strong convexity allow a simple analysis they are rarely satisfied in applications. In recent years, global
Externí odkaz:
http://arxiv.org/abs/2405.13592
Autor:
Moghani, Masoud, Doorenbos, Lars, Panitch, William Chung-Ho, Huver, Sean, Azizian, Mahdi, Goldberg, Ken, Garg, Animesh
In this work, we present SuFIA, the first framework for natural language-guided augmented dexterity for robotic surgical assistants. SuFIA incorporates the strong reasoning capabilities of large language models (LLMs) with perception modules to imple
Externí odkaz:
http://arxiv.org/abs/2405.05226
Autor:
Azizian, Bardia, Bajic, Ivan V.
Privacy is a crucial concern in collaborative machine vision where a part of a Deep Neural network (DNN) model runs on the edge, and the rest is executed on the cloud. In such applications, the machine vision model does not need the exact visual cont
Externí odkaz:
http://arxiv.org/abs/2402.18864
Autor:
Qian, Yang, Sun, Yinan, Kargarandehkordi, Ali, Azizian, Parnian, Mutlu, Onur Cezmi, Surabhi, Saimourya, Chen, Pingyi, Jabbar, Zain, Wall, Dennis Paul, Washington, Peter
The increasing variety and quantity of tagged multimedia content on a variety of online platforms offer a unique opportunity to advance the field of human action recognition. In this study, we utilize 283,582 unique, unlabeled TikTok video clips, cat
Externí odkaz:
http://arxiv.org/abs/2402.08875
The introduction of AI and ML technologies into medical devices has revolutionized healthcare diagnostics and treatments. Medical device manufacturers are keen to maximize the advantages afforded by AI and ML by consolidating multiple applications on
Externí odkaz:
http://arxiv.org/abs/2402.04466
Exact Bayesian inference on state-space models~(SSM) is in general untractable, and unfortunately, basic Sequential Monte Carlo~(SMC) methods do not yield correct approximations for complex models. In this paper, we propose a mixed inference algorith
Externí odkaz:
http://arxiv.org/abs/2312.09860
Autor:
N. Khalili Samani, A. Azizian
Publikováno v:
مجله آب و خاک, Vol 30, Iss 1, Pp 312-321 (2016)
Interduction: Spatial and temporal improper distribution of precipitation is one of the major problems in the water district. Increasing population and reduction per capita fresh water has made freshwater resources as a renewable to a semi-renewable
Externí odkaz:
https://doaj.org/article/f8235f16d55441cd8752d4f43a321da6
Publikováno v:
Tulīd va Farāvarī-i Maḥṣūlāt-i Zirā̒ī va Bāghī, Vol 6, Iss 20, Pp 139-150 (2016)
In order to grow strawberry in Chaharmahal and Bakhtiari, growth, yield and fruit quality was evaluated among eight commercial strawberry cultivars including: Selva, Camarosa, Pajaro, Paros, Queen eliza, Kurdestan and Merak. This experiment was condu
Externí odkaz:
https://doaj.org/article/c5b4258da5c74f6aa3752dac65fd437d