A word-embedding-based approach for accurate identification of corresponding activities.
Khurram ShahzadSafia KanwalMuhammad Kamran MalikFaisal AslamMuhammad AliPublished in: Comput. Electr. Eng. (2019)
Keyphrases
- activity recognition
- co occurrence
- high accuracy
- computationally efficient
- human activities
- n gram
- automatic identification
- graph embedding
- word pairs
- vector space
- daily life
- high precision
- handwritten words
- linguistic information
- nonlinear dimensionality reduction
- real time
- hidden markov models
- case study
- knowledge base
- information retrieval
- machine learning