466 citations · 881 across the 30 of their papers we have counts for
32 papers
A New Tensor Network: Tubal Tensor Train and Its Applications
Salman Ahmadi-Asl, Valentin Leplat, Anh-Huy Phan +1
We introduce the tubal tensor train (TTT) decomposition, a tensor-network model that combines the t-product algebra of the tensor singular value decomposition (T-SVD) with the low-…
Nonnegative Tensor Decomposition Via Collaborative Neurodynamic Optimization
Salman Ahmadi-Asl, Valentin Leplat, Anh-Huy Phan +1
This paper introduces a novel collaborative neurodynamic model for computing nonnegative Canonical Polyadic Decomposition (CPD). The model relies on a system of recurrent neural ne…
TERM Model: Tensor Ring Mixture Model for Density Estimation
Ruituo Wu, Jiani Liu, Ce Zhu +3
Efficient probability density estimation is a core challenge in statistical machine learning. Tensor-based probabilistic graph methods address interpretability and stability concer…
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…
Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition
Ashish Jha, Dimitrii Ermilov, Konstantin Sobolev +8
Pedestrian Attribute Recognition (PAR) focuses on identifying various attributes in pedestrian images, with key applications in person retrieval, suspect re-identification, and sof…
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…