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06/06/2023
Constant Sequence Extension for Fast Search Using Weighted Hamming Distance
Representing visual data using compact binary codes is attracting increa...
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05/30/2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
Class-incremental learning (CIL) learns a classification model with trai...
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03/18/2022
Deterministic Bridge Regression for Compressive Classification
Pattern classification with compact representation is an important compo...
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02/14/2022
Analytic Learning of Convolutional Neural Network For Pattern Recognition
Training convolutional neural networks (CNNs) with back-propagation (BP)...
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11/18/2021
HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis
Objective: Heart rate variability (HRV) has been proven to be an importa...
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02/16/2021
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view
Graph-based subspace clustering methods have exhibited promising perform...
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12/03/2020
Accumulated Decoupled Learning: Mitigating Gradient Staleness in Inter-Layer Model Parallelization
Decoupled learning is a branch of model parallelism which parallelizes t...
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02/04/2020
GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition
Connectionist Temporal Classification (CTC) and attention mechanism are ...
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06/21/2019
Fully Decoupled Neural Network Learning Using Delayed Gradients
Using the back-propagation (BP) to train neural networks requires a sequ...
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10/27/2018
Gradient-Free Learning Based on the Kernel and the Range Space
In this article, we show that solving the system of linear equations by ...
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06/09/2018
Deterministic Stretchy Regression
An extension of the regularized least-squares in which the estimation pa...
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10/06/2016
