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Authors whose works are in public domain in at least one jurisdiction

List of works by Zhao Zhang

A general soft label based linear discriminant analysis for semi-supervised dimensionality reduction.

scientific article published on 13 April 2014

Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR?

scientific article published on 24 November 2015

FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting

scientific article published on 27 October 2023

InspirNET: An Unsupervised Generative Adversarial Network with Controllable Fine-grained Texture Disentanglement for Fashion Generation

scientific article published on 02 November 2023

Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis

scientific article published on 15 June 2018

M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction.

scientific article

Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition

scientific article published on 3 October 2012

Nonpeaked Discriminant Analysis for Data Representation

scientific article published on 13 November 2019

Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification ⬇️

scientific article published on August 8, 2013

RMoR-Aion: Robust Multioutput Regression by Simultaneously Alleviating Input and Output Noises

scientific article published on 16 April 2020

Robust Subspace Clustering with Compressed Data

scientific article published on 24 May 2019

Similarity preserving low-rank representation for enhanced data representation and effective subspace learning

scientific article

Toward Intelligent Interactive Design: A Generation Framework Based on Cross-domain Fashion Elements

scientific article published on 27 October 2023

Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning

scientific article published on 13 January 2020

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