Zobrazeno 1 - 10
of 3 297
pro vyhledávání: '"Jordao,A. A."'
Layer pruning offers a promising alternative to standard structured pruning, effectively reducing computational costs, latency, and memory footprint. While notable layer-pruning approaches aim to detect unimportant layers for removal, they often rely
Externí odkaz:
http://arxiv.org/abs/2411.14345
Fault tolerant on-chip photonic quantum computation is enormously helped by (a) deterministic generation of the needed thousands to millions of photon qubits from (b) quantum emitters in designed spatially ordered arrays to enable networks for implem
Externí odkaz:
http://arxiv.org/abs/2411.04412
Autor:
Baratela, Eduardo Alves, Xavier, Felipe Jordão, Peron, Thomas, Villas-Boas, Paulino Ribeiro, Rodrigues, Francisco Aparecido
Soccer attracts the attention of many researchers and professionals in the sports industry. Therefore, the incorporation of science into the sport is constantly growing, with increasing investments in performance analysis and sports prediction indust
Externí odkaz:
http://arxiv.org/abs/2409.13098
Deep neural networks have been the predominant paradigm in machine learning for solving cognitive tasks. Such models, however, are restricted by a high computational overhead, limiting their applicability and hindering advancements in the field. Exte
Externí odkaz:
http://arxiv.org/abs/2405.17081
Autor:
Gonzalez, Karina, Jordão, Thaís
We present estimates for the covering numbers of the unit ball of Reproducing Kernel Hilbert Spaces (RKHSs) of functions on $M^d$ a d-dimensional compact two-point homogeneous space. The RKHS is generated by a continuous zonal/isotropic positive defi
Externí odkaz:
http://arxiv.org/abs/2405.08140
Publikováno v:
Journal of Intellectual Capital, 2024, Vol. 25, Issue 7, pp. 151-175.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JIC-02-2024-0033
Realization of the long sought on-chip scalable photonic quantum information processing networks has been thwarted by the absence of spatially-ordered and scalable on-demand single photon emitters with emission figures-of-merit exceeding the required
Externí odkaz:
http://arxiv.org/abs/2312.15132
In this work, we describe a method for large-scale 3D cell-tracking through a segmentation selection approach. The proposed method is effective at tracking cells across large microscopy datasets on two fronts: (i) It can solve problems containing mil
Externí odkaz:
http://arxiv.org/abs/2308.04526
In this paper, we present sharp estimates for the covering numbers of the embedding of the reproducing kernel Hilbert space (RKHS) associated with the Weierstrass fractal kernel into the space of continuous functions. The method we apply is based on
Externí odkaz:
http://arxiv.org/abs/2304.14116
Autor:
Jordão, T., Gonzalez, K.
We present accurate upper and lower bounds for the covering numbers, with explicit constants, of the unit ball for two general classes of Reproducing Kernel Hilbert Space (RKHS) on the unit sphere of $\mathbb{R}^{d+1}$. In both classes, the RKHS is g
Externí odkaz:
http://arxiv.org/abs/2304.14103