Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams.
Roy J. AdamsNazir SaleheenEdison ThomazAbhinav ParateSantosh KumarBenjamin M. MarlinPublished in: ICML (2016)
Keyphrases
- conditional random fields
- crf model
- sensor data streams
- image labeling
- sensor readings
- semantic segmentation
- probabilistic model
- markov random field
- image segmentation
- graphical models
- sensor networks
- sequence labeling
- information extraction
- random fields
- hidden markov models
- pairwise
- higher order
- generative model
- maximum entropy
- structured prediction
- parameter learning
- max margin learning
- sensor data
- named entity recognition
- semi markov
- undirected graphical models
- segmentation method
- superpixels
- data streams
- web page prediction
- approximate inference
- unsupervised learning
- support vector machine
- human activities
- machine learning algorithms
- structured learning
- input image
- active learning
- computer vision
- data sets