Matrix Factorization-based clustering of image features for bandwidth-constrained information retrieval.
Jacob ChakareskiImmanuel ManoharShantanu RanePublished in: ICME Workshops (2016)
Keyphrases
- matrix factorization
- information retrieval
- image features
- nonnegative matrix factorization
- collaborative filtering
- low rank
- recommender systems
- simultaneous clustering
- missing data
- negative matrix factorization
- clustering algorithm
- k means
- clustering method
- information retrieval systems
- data sparsity
- personalized ranking
- factorization methods
- cluster analysis
- computer vision
- text mining
- object recognition
- image classification
- item recommendation
- information extraction
- feature vectors
- tensor factorization
- stochastic gradient descent
- probabilistic matrix factorization
- latent factor models
- low rank matrix
- data clustering
- search engine
- data matrix
- implicit feedback
- high dimensional data
- nearest neighbor
- high dimensional
- nonnegative matrix tri factorization
- multiscale