Weakly-supervised cross-domain dictionary learning for visual recognition

DOI10.1007/s11263-014-0703-yzbMath1328.68255OpenAlexW2065494927MaRDI QIDQ903534

Fan Zhu, Ling Shao

Publication date: 6 January 2016

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-014-0703-y

zbMATH Keywords

image classificationtransfer learningevent recognitionhuman action recognitionvisual categorizationweakly-supervised dictionary learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

Related Items

Multifocus image fusion by combining with mixed-order structure tensors and multiscale neighborhood, Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping, Adaptive multidimensional fuzzy sets for texture modeling, Bag similarity network for deep multi-instance learning, Online primal-dual learning for a data-dependent multi-kernel combination model with multiclass visual categorization applications, Robust multi-source adaptation visual classification using supervised low-rank representation

Uses Software

• PDCO
• SIFT
• Caltech-256

Cites Work

• Learning the statistics of people in images and video
• Coupled action recognition and pose estimation from multiple views
• Transfer latent variable model based on divergence analysis
• Atomic Decomposition by Basis Pursuit
• $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
• Tikhonov Regularization and Total Least Squares
• Matching pursuits with time-frequency dictionaries