Zobrazeno 1 - 10
of 1 689
pro vyhledávání: '"Aliyev, P. A."'
Autor:
Aliyev, Fateh, Gladkov, Nikita
We establish a lower bound on the forcing numbers of domino tilings computable in polynomial time based on height functions. This lower bound is sharp for a 2n by 2n square as well as other cases.
Comment: 10 pages, 4 figures
Comment: 10 pages, 4 figures
Externí odkaz:
http://arxiv.org/abs/2410.23621
Publikováno v:
IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2024)
Spiking Neural Networks (SNNs) are inspired by the sparse and event-driven nature of biological neural processing, and offer the potential for ultra-low-power artificial intelligence. However, realizing their efficiency benefits requires specialized
Externí odkaz:
http://arxiv.org/abs/2408.14437
Autor:
Aliyev, Ali
This paper describes our solution for the Diarization of Speaker and Language in Conversational Environments Challenge (Displace 2023). We used a combination of VAD for finding segfments with speech, Resnet architecture based CNN for feature extracti
Externí odkaz:
http://arxiv.org/abs/2406.15516
Autor:
Aliyev, Yagub N.
We study the dual of Philo's shortest line segment problem which asks to find the optimal line segments passing through two given points, with a common endpoint, and with the other endpoints on a given line. The provided solution uses multivariable c
Externí odkaz:
http://arxiv.org/abs/2406.05702
Autor:
Aliyev, Yagub N.
We study caustics of an elliptical paraboloid and the history of their various representations from 3D models in XIX century to the recent computer graphics. In the paper two ways of generating the surface, one with cartesian coordinates using formul
Externí odkaz:
http://arxiv.org/abs/2405.19484
Autor:
Aliyev, Yagub
In the paper the maximum and the minimum of the ratio of the difference of the arithmetic mean and the geometric mean, and the difference of the power mean and the geometric mean of $n$ variables, is studied. A new optimization argument was used whic
Externí odkaz:
http://arxiv.org/abs/2405.11947
Autor:
Hassan, Sahil, Inouye, Michael, Gonzalez, Miguel C., Aliyev, Ilkin, Mack, Joshua, Hafiz, Maisha, Akoglu, Ali
Open-source simulation tools play a crucial role for neuromorphic application engineers and hardware architects to investigate performance bottlenecks and explore design optimizations before committing to silicon. Reconfigurable Architecture for Neur
Externí odkaz:
http://arxiv.org/abs/2404.16208
Autor:
Aliyev, Ilkin, Adegbija, Tosiron
Spiking Neural Networks (SNNs) have become popular for their more bio-realistic behavior than Artificial Neural Networks (ANNs). However, effectively leveraging the intrinsic, unstructured sparsity of SNNs in hardware is challenging, especially due t
Externí odkaz:
http://arxiv.org/abs/2402.06210
Autor:
Aliyev, Ilkin, Adegbija, Tosiron
The highly sparse activations in Spiking Neural Networks (SNNs) can provide tremendous energy efficiency benefits when carefully exploited in hardware. The behavior of sparsity in SNNs is uniquely shaped by the dataset and training hyperparameters. T
Externí odkaz:
http://arxiv.org/abs/2402.06211
Autor:
Aliyev, Yagub N.
Publikováno v:
Elemente der Mathematik 2024
In the paper we prove generalization of Schl\"omilch's and Zetel's theorems about concurrent lines in a triangle. This generalization is obtained as a corollary of sharp geometric inequality about the ratio of triangular areas which is proved using d
Externí odkaz:
http://arxiv.org/abs/2401.00930