Matrix Factorization-Based Clustering Of Image Features For Bandwidth-Constrained Information Retrieval.
Jacob ChakareskiImmanuel ManoharShantanu RanePublished in: CoRR (2016)
Keyphrases
- matrix factorization
- information retrieval
- image features
- nonnegative matrix factorization
- collaborative filtering
- negative matrix factorization
- recommender systems
- simultaneous clustering
- clustering algorithm
- low rank
- factorization methods
- missing data
- data sparsity
- k means
- tensor factorization
- clustering method
- factor analysis
- cluster analysis
- search engine
- image classification
- information retrieval systems
- spectral clustering
- latent factors
- personalized ranking
- implicit feedback
- item recommendation
- keypoints
- document clustering
- unsupervised learning
- information extraction
- data points
- computer vision
- image representation
- data matrix
- co occurrence
- web search
- feature vectors
- probabilistic matrix factorization