On the public citation graph

Incomplete Label Distribution Learning

https://doi.org/10.24963/ijcai.2017/443

0 signed · 68 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-0-387-40065-5openalex-snapshot

Numerical Optimization

inferredcites →https://doi.org/10.1007/s11704-018-8015-yopenalex-snapshot

Soft video parsing by label distribution learning

inferredcites →https://doi.org/10.1017/9781108993456.011openalex-snapshot

Numerical optimization

inferredcites →https://doi.org/10.1017/cbo9780511804441openalex-snapshot

Convex Optimization

inferredcites →https://doi.org/10.1109/34.588021openalex-snapshot

Inducing features of random fields

inferredcites →https://doi.org/10.1109/cvpr.2016.486openalex-snapshot

Logistic Boosting Regression for Label Distribution Learning

inferredcites →https://doi.org/10.1109/tkde.2016.2545658openalex-snapshot

Label Distribution Learning

inferredcites →https://doi.org/10.1109/tpami.2013.51openalex-snapshot

Facial Age Estimation by Learning from Label Distributions

inferredcites →https://doi.org/10.1137/080738970openalex-snapshot

A Singular Value Thresholding Algorithm for Matrix Completion

inferredcites →https://doi.org/10.1145/2733373.2806328openalex-snapshot

Emotion Distribution Recognition from Facial Expressions

inferredcites →https://doi.org/10.1561/2200000016openalex-snapshot

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

inferredcites →https://doi.org/10.1561/9781601984616openalex-snapshot

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

inferredcites →https://doi.org/10.1609/aaai.v24i1.7657openalex-snapshot

Facial Age Estimation by Learning from Label Distributions

inferredcites →https://doi.org/10.1609/aaai.v24i1.7699openalex-snapshot

Multi-Label Learning with Weak Label

inferredcites →https://doi.org/10.1609/aaai.v28i1.8996openalex-snapshot

Multilabel Classification with Label Correlations and Missing Labels

inferredcites →https://doi.org/10.1609/aaai.v30i1.10186openalex-snapshot

Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning

inferredcites →https://doi.org/10.48550/arxiv.1307.5101openalex-snapshot

Large-scale Multi-label Learning with Missing Labels

inferredcites →https://doi.org/10.48550/arxiv.1309.1541openalex-snapshot

Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4194440openalex-extracted

Feature Reconstruction with Label Correlation for Label Distribution Learning

inferred← citeshttps://doi.org/10.1007/978-3-319-98074-4_10openalex-snapshot

Data Intrinsic Characteristics

inferred← citeshttps://doi.org/10.1007/978-981-96-9794-6_41openalex-snapshot

Localized Neighborhood Label Distribution Learning with Manifold-Regularization for Fetal Brain Age Estimation from MRI

inferred← citeshttps://doi.org/10.1007/s00530-026-02381-zopenalex-snapshot

Label distribution learning via modeling label correlation on Gaussian components

inferred← citeshttps://doi.org/10.1007/s10115-018-1244-4openalex-snapshot

Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise

inferred← citeshttps://doi.org/10.1007/s10489-023-04771-6openalex-snapshot

Granular ball-based label enhancement for dimensionality reduction in multi-label data

inferred← citeshttps://doi.org/10.1007/s13042-019-00958-xopenalex-snapshot

Incomplete label distribution learning based on supervised neighborhood information

inferred← citeshttps://doi.org/10.1007/s13042-022-01528-4openalex-snapshot

Local rough set-based feature selection for label distribution learning with incomplete labels

inferred← citeshttps://doi.org/10.1007/s13042-024-02351-9openalex-snapshot

Label distribution learning by utilizing common and label-specific feature fusion space

inferred← citeshttps://doi.org/10.1007/s13042-024-02385-zopenalex-snapshot

Weakly-supervised label distribution feature selection via label-specific features and label correlation

inferred← citeshttps://doi.org/10.1016/j.inffus.2021.04.014openalex-snapshot

Unified framework for learning with label distribution

inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102600openalex-snapshot

Incomplete label distribution learning via label correlation decomposition

inferred← citeshttps://doi.org/10.1016/j.ins.2021.10.009openalex-snapshot

Semi-supervised label distribution learning via projection graph embedding

inferred← citeshttps://doi.org/10.1016/j.jksuci.2022.10.008openalex-snapshot

A semi-supervised label distribution learning model with label correlations and data manifold exploration

inferred← citeshttps://doi.org/10.1016/j.knosys.2020.105684openalex-snapshot

Mutual information-based label distribution feature selection for multi-label learning

inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106690openalex-snapshot

Bidirectional loss function for Label Enhancement and distribution learning

inferred← citeshttps://doi.org/10.1016/j.media.2021.102294openalex-snapshot

Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition

inferred← citeshttps://doi.org/10.1016/j.neucom.2022.03.041openalex-snapshot

Semi-Supervised Label Distribution Learning with Co-regularization

inferred← citeshttps://doi.org/10.1016/j.neunet.2022.08.014openalex-snapshot

Self-supervised knowledge distillation for complementary label learning

inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111854openalex-snapshot

Label enhancement by manifold fusion of feature and label spaces

inferred← citeshttps://doi.org/10.1016/j.patrec.2019.06.012openalex-snapshot

Weakly supervised label distribution learning based on transductive matrix completion with sample correlations

inferred← citeshttps://doi.org/10.1016/j.patrec.2021.01.026openalex-snapshot

Fragmentary label distribution learning via graph regularized maximum entropy criteria

inferred← citeshttps://doi.org/10.1109/cvpr.2019.01007openalex-snapshot

Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892220openalex-snapshot

Filling Missing Labels in Label Distribution Learning by Exploiting Label-Specific Feature Selection

inferred← citeshttps://doi.org/10.1109/tbdata.2023.3338023openalex-snapshot

Label Distribution Learning Based on Horizontal and Vertical Mining of Label Correlations

inferred← citeshttps://doi.org/10.1109/tbdata.2024.3442562openalex-snapshot

Domain Adaptation for Label Distribution Learning

inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3406066openalex-snapshot

Inaccurate Label Distribution Learning

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3600067openalex-snapshot

Tail-Aware Reconstruction of Incomplete Label Distributions With Low-Rank and Sparse Modeling

inferred← citeshttps://doi.org/10.1109/tfuzz.2024.3419144openalex-snapshot

Learning Fuzzy Label-Distribution-Specific Features for Data Processing

inferred← citeshttps://doi.org/10.1109/tip.2021.3050677openalex-snapshot

Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning

inferred← citeshttps://doi.org/10.1109/tkde.2019.2943337openalex-snapshot

Label Distribution Learning with Label Correlations on Local Samples

inferred← citeshttps://doi.org/10.1109/tkde.2021.3092406openalex-snapshot

Fast Label Enhancement for Label Distribution Learning

inferred← citeshttps://doi.org/10.1109/tmm.2022.3140892openalex-snapshot

Exploiting Low-Rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distributions

inferred← citeshttps://doi.org/10.1109/tnnls.2021.3103178openalex-snapshot

Label Distribution Learning by Exploiting Label Distribution Manifold

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3329870openalex-snapshot

Instance-Dependent Inaccurate Label Distribution Learning

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3341807openalex-snapshot

Label Distribution Learning by Partitioning Label Distribution Manifold

inferred← citeshttps://doi.org/10.1109/tnnls.2024.3438756openalex-snapshot

Label Distribution Learning by Exploiting Fuzzy Label Correlation

inferred← citeshttps://doi.org/10.1109/tnnls.2024.3475469openalex-snapshot

Scalable Label Distribution Learning for Multi-Label Classification

inferred← citeshttps://doi.org/10.1145/3476098.3485054openalex-snapshot

Incomplete Label Distribution Learning by Exploiting Global Sample Correlation

inferred← citeshttps://doi.org/10.1145/3477495.3532052openalex-snapshot

Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective

inferred← citeshttps://doi.org/10.1145/3708036.3708175openalex-snapshot

An Adaptive Bypass-Based LDL Method for Marketing Strategy Assessment

inferred← citeshttps://doi.org/10.1587/transinf.2024edl8064openalex-snapshot

Product Rating Distribution Estimation Using an LDL-Based Method with Uniform Manifold Approximation and Projection

inferred← citeshttps://doi.org/10.1609/aaai.v32i1.11609openalex-snapshot

Label Distribution Learning by Optimal Transport

inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33015256openalex-snapshot

Theoretical Analysis of Label Distribution Learning

inferred← citeshttps://doi.org/10.1609/aaai.v38i11.29131openalex-snapshot

Generative Calibration of Inaccurate Annotation for Label Distribution Learning

inferred← citeshttps://doi.org/10.24963/ijcai.2018/99openalex-snapshot

Age Estimation Using Expectation of Label Distribution Learning

inferred← citeshttps://doi.org/10.24963/ijcai.2019/461openalex-snapshot

Label Distribution Learning with Label Correlations via Low-Rank Approximation

inferred← citeshttps://doi.org/10.24963/ijcai.2020/432openalex-snapshot

Weakly-Supervised Multi-view Multi-instance Multi-label Learning

inferred← citeshttps://doi.org/10.3390/electronics14132736openalex-snapshot

Generative Learning from Semantically Confused Label Distribution via Auto-Encoding Variational Bayes

inferred← citeshttps://doi.org/10.3390/rs13040755openalex-snapshot

Neighbor-Based Label Distribution Learning to Model Label Ambiguity for Aerial Scene Classification

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.