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Farhad Kamangar

3 papers · 2011–2020 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+2 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸ—ΊοΈ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Bronze
πŸš€ Conference Pioneer πŸ“ˆ Trend Setter

Venues

IJCAI (1) NeurIPS (1) WACV (1)

Top co-authors

Mohsen Kheirandishfard (2) Fariba Zohrizadeh (2) Ramtin Madani (1) Hua Wang (1) Heng Huang (1) Chris H. Ding (1) Feiping Nie (1)

Research topics

Machine Learning (3) Core Methods (3) Deep Learning (2) Artificial Intelligence (1) Computer Vision (1) Mathematics & Optimization (1) Analysis (1) Architectures (1) Core AI (1) Learning Types Β· Machine Learning (1) Learning Types Β· Deep Learning (1) Optimization (1)

Keywords

dimensionality reduction (1) representation learning (1) non-convex optimization (1) graph clustering (1) multi-instance learning (1) weakly supervised learning (1) maximum margin (1) distance metric learning (1) image categorization (1) bag-of-instances (1) distance metric (1) stiefel manifold (1) orthogonality constraint (1) penalization technique (1) convolutional autoencoder (1) multi-level feature learning (1) self-expressive representation (1) deep subspace clustering (1) maximum margin classification (1)

Papers

Multi-Level Representation Learning for Deep Subspace Clustering WACV 2020 Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering IJCAI 2019 Maximum Margin Multi-Instance Learning NeurIPS 2011