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20182026
most citedKernelized Multiview Subspace Analysis by Self-weighted Learning

106 citations · 181 across the 29 of their papers we have counts for

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6 papers · 1 filter

cs.LG2024

Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidance

Huibing Wang, Mingze Yao, Yawei Chen +5

Incomplete multi-view clustering primarily focuses on dividing unlabeled data into corresponding categories with missing instances, and has received intensive attention due to its…

cs.LG2021

A unified framework based on graph consensus term for multi-view learning

Xiangzhu Meng, Lin Feng, Chonghui Guo

In recent years, multi-view learning technologies for various applications have attracted a surge of interest. Due to more compatible and complementary information from multiple vi…

cs.LG2019★ 106 cited

Kernelized Multiview Subspace Analysis by Self-weighted Learning

Huibing Wang, Yang Wang, Zhao Zhang +4

With the popularity of multimedia technology, information is always represented or transmitted from multiple views. Most of the existing algorithms are graph-based ones to learn th…

cs.LG2019

A Multi-view Dimensionality Reduction Algorithm Based on Smooth Representation Model

Haohao Li, Huibing Wang

Over the past few decades, we have witnessed a large family of algorithms that have been designed to provide different solutions to the problem of dimensionality reduction (DR). Th…

cs.LG2019

Auto-weighted Mutli-view Sparse Reconstructive Embedding

Huibing Wang, Haohao Li, Xianping Fu

With the development of multimedia era, multi-view data is generated in various fields. Contrast with those single-view data, multi-view data brings more useful information and sho…

cs.LG2018

Robust Tracking via Weighted Online Extreme Learning Machine

Jing Zhang, Huibing Wang, Yonggong Ren

The tracking method based on the extreme learning machine (ELM) is efficient and effective. ELM randomly generates input weights and biases in the hidden layer, and then calculates…