Tagged articles

Multi-view learning

5 articles · Page 1 of 1

Aug 2, 2026 · Artificial Intelligence

Stream3D Enables Streaming 3D Reconstruction and Generation Without Retraining

Stream3D, a collaborative effort from Harvard, MIT and HKUST, introduces a training‑free, memory‑efficient mechanism that continuously extracts reliable multi‑view evidence from video streams to drive frozen view‑conditioned 3D generators, achieving consistent, complete 3D reconstructions superior to both pure reconstruction and generation baselines.

3D reconstructionEvidence memoryMulti-view learning

0 likes · 14 min read

Stream3D Enables Streaming 3D Reconstruction and Generation Without Retraining

Youku Technology

May 18, 2020 · Artificial Intelligence

How Feature-Induced Manifold Disambiguation Improves Video Tagging in Multi-View Learning

The paper "Feature‑Induced Manifold Disambiguation for Multi‑view Partial Multi‑label Learning" accepted at KDD 2020 introduces the MVPML framework and the FIMAN method, which leverage heterogeneous multimodal features to correct and supplement video tags, thereby boosting distribution efficiency in Alibaba Entertainment’s platforms.

Alibaba EntertainmentKDD 2020Multi-view learning

0 likes · 3 min read

How Feature-Induced Manifold Disambiguation Improves Video Tagging in Multi-View Learning

DataFunTalk

Nov 26, 2019 · Artificial Intelligence

Neural News Recommendation with Attentive Multi‑View Learning and Personalized Attention

This article surveys two neural news recommendation approaches—NAML, which uses multi‑view learning to fuse heterogeneous news information, and NPA, which incorporates personalized attention for both words and news items—demonstrating their superior performance over strong baselines on real‑world MSN news data through extensive experiments and visual analyses.

AIDeep LearningMulti-view learning

0 likes · 11 min read

Neural News Recommendation with Attentive Multi‑View Learning and Personalized Attention

Alibaba Cloud Developer

Aug 21, 2019 · Artificial Intelligence

How View-Specific Information Boosts Multi-View Multi-Label Learning (SIMM)

This article explains the SIMM algorithm, a multi‑view multi‑label learning method that extracts view‑specific information alongside shared subspace representations, detailing its motivation, architecture, loss functions, experimental results on eight datasets, and how it outperforms existing approaches.

Multi-view learningSIMMadversarial learning

0 likes · 10 min read

How View-Specific Information Boosts Multi-View Multi-Label Learning (SIMM)

Youku Technology

Aug 12, 2019 · Artificial Intelligence

Interpretation of the Paper “Multi-View Multi-Label Learning with View‑Specific Information Extraction” (SIMM)

The article explains SIMM, a neural‑network framework for multi‑view multi‑label learning that jointly extracts a shared, view‑invariant subspace via adversarial loss and orthogonal view‑specific features, demonstrating superior performance across eight benchmark datasets compared to existing MVML and ML‑kNN methods.

AIMachine LearningMulti-view learning

0 likes · 11 min read

Interpretation of the Paper “Multi-View Multi-Label Learning with View‑Specific Information Extraction” (SIMM)