48 citations · 50 across the 7 of their papers we have counts for
8 papers
Mirror Descent Using the Tempesta Generalized Multi-parametric Logarithms
Andrzej Cichocki
In this paper, we develop a wide class Mirror Descent (MD) algorithms, which play a key role in machine learning. For this purpose we formulated the constrained optimization proble…
Quantization Aware Factorization for Deep Neural Network Compression
Daria Cherniuk, Stanislav Abukhovich, Anh-Huy Phan +3
Tensor decomposition of convolutional and fully-connected layers is an effective way to reduce parameters and FLOP in neural networks. Due to memory and power consumption limitatio…
Image Reconstruction using Superpixel Clustering and Tensor Completion
Maame G. Asante-Mensah, Anh Huy Phan, Salman Ahmadi-Asl +2
This paper presents a pixel selection method for compact image representation based on superpixel segmentation and tensor completion. Our method divides the image into several regi…
Adaptive Cross Tubal Tensor Approximation
Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki +4
In this paper, we propose a new adaptive cross algorithm for computing a low tubal rank approximation of third-order tensors, with less memory and lower computational complexity th…
Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection
Salman Ahmadi-Asl, Anh-Huy Phan, Cesar F. Caiafa +1
In this paper, we extend the Discrete Empirical Interpolation Method (DEIM) to the third-order tensor case based on the t-product and use it to select important/ significant latera…
Optimized motor imagery paradigm based on imagining Chinese characters writing movement
Zhaoyang Qiu, Brendan Z. Allison, Jing Jin +4
Motor imagery (MI) is a mental representation of motor behavior that has been widely used as a control method for a brain-computer interface (BCI), allowing communication for the p…