PerCCS: person-count from carbon dioxide using sparse non-negative matrix factorization.
Chandrayee BasuChristian KoehlerKamalika DasAnind K. DeyPublished in: UbiComp (2015)
Keyphrases
- matrix factorization
- sparse non negative
- carbon dioxide
- collaborative filtering
- low rank
- data center
- missing data
- recommender systems
- sparse coding
- factorization methods
- power plant
- climate change
- negative matrix factorization
- nonnegative matrix factorization
- energy saving
- power generation
- production rate
- data analysis
- text classification
- reinforcement learning
- spatial information
- remote sensing