Detect and Track Latent Factors with Online Nonnegative Matrix Factorization
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Summary
An online NMF (ONMF) algorithm to detect latent factors and track their evolution while the data evolve and alleviate the partial-data problem, which may cause NMF to fail when the data are scarce or the distribution is incomplete is put forward.
- Type
- article
- Published
- 2007-01-06
- Cited by
- 105
- References
- 27
- OpenAlex
- https://openalex.org/W2169707717
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1326168
Keywords
Non-negative matrix factorization, Computer science, Matrix decomposition, Orthogonality, Data mining
References
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- Mining high-speed data streams
- Document clustering by concept factorization
- Introducing a weighted non-negative matrix factorization for image classification
- Algorithms for Non-negative Matrix Factorization
- Topic Detection and Tracking Pilot Study Final Report
- Learning spatially localized, parts-based representation
- When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
- Conditions for nonnegative independent component analysis
- Independent Component Analysis for Clustering Multivariate Time Series Data
- Non-negative Matrix Factorization with Sparseness Constraints
- Non-negative Matrix Factorization with Sparseness Constraints
- Indexing by Latent Semantic Analysis
Cited by
- Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion
- Efficient Document Clustering via Online Nonnegative Matrix Factorizations
- Dictionary learning methods for single-channel source separation
- Online Multi-Modal Robust Non-Negative Dictionary Learning for Visual Tracking
- ICTCAS's ICTGrasper at TAC 2008: Summarizing Dynamic Information with Signature Terms Based Content Filtering
- ICTGrasper at TAC2009: Temporal Preferred Update Summarization
- Synergizing human-machine intelligence: Visualizing, labeling, and mining the electronic health record
- Using Linear Dynamical Topic Model for Inferring Temporal Social Correlation in Latent Space
- Learning-based web query understanding
- Topics and trends of the on-line public concerns based on Tianya forum
- Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients
- Monophonic sound source separation by non-negative sparse autoencoders
- Temporal analysis of text data using latent variable models
- Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering
- A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data
- Extended Probabilistic Latent Semantic Analysis Model For Topics In Time-Stamped Images
- On-Line Nonnegative Matrix Factorization for Music Signal Separation
- RLS-Based On-Line Sparse Nonnegative Matrix Factorization Method for Acoustic Signal Processing Systems
- Two-Phase Collaborative Filtering Algorithm Based on Co-Clustering
- A time-based collective factorization for topic discovery and monitoring in news
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