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20212026
most citedA Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes

21 citations · 43 across the 16 of their papers we have counts for

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cs.CV2021

Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern

Ruxin Ding, Jianfeng Ren, Heng Yu +1

Spatial-temporal local binary pattern (STLBP) has been widely used in dynamic texture recognition. STLBP often encounters the high-dimension problem as its dimension increases expo…

cs.CV2021★ 1 cited

Two-stage Rule-induction Visual Reasoning on RPMs with an Application to Video Prediction

Wentao He, Jianfeng Ren, Ruibin Bai +1

Raven's Progressive Matrices (RPMs) are frequently used in evaluating human's visual reasoning ability. Researchers have made considerable efforts in developing systems to automati…

cs.CV2021★ 4 cited

Spatial-context-aware deep neural network for multi-class image classification

Jialu Zhang, Qian Zhang, Jianfeng Ren +2

Multi-label image classification is a fundamental but challenging task in computer vision. Over the past few decades, solutions exploring relationships between semantic labels have…

cs.LG2021★ 21 cited

A Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes

Shihe Wang, Jianfeng Ren, Ruibin Bai

Recently, many improved naive Bayes methods have been developed with enhanced discrimination capabilities. Among them, regularized naive Bayes (RNB) produces excellent performance…

cs.CV2021

Data augmentation by morphological mixup for solving Raven's Progressive Matrices

Wentao He, Jianfeng Ren, Ruibin Bai

Raven's Progressive Matrices (RPMs) are frequently used in testing human's visual reasoning ability. Recent advances of RPM-like datasets and solution models partially address the…

cs.LG2021★ 7 cited

Analytics and Machine Learning in Vehicle Routing Research

Ruibin Bai, Xinan Chen, Zhi-Long Chen +13

The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed. To tackle…