Discriminant Bag of Words based representation for human action recognition
By Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas. 2014
80 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Anastasios Tefas
- Nikolaos Passalis
- Alexandros Iosifidis
- Moncef Gabbouj
- Juho Kanniainen
- Avraam Tsantekidis
- Dat Thanh Tran
- Martin Magris
In Biomedical Engineering
In Computer Vision and Pattern Recognition
- Anastasios Tefas
- Nikolaos Passalis
- Alexandros Iosifidis
- Moncef Gabbouj
- Juho Kanniainen
- Avraam Tsantekidis
- Dat Thanh Tran
- Martin Magris
Citations in the corpus
- Tensor representation in high-frequency financial data for price change prediction (2017, methodology): “On a similar benchmark HFT dataset, a RNN with Long Short-Term Memory Units (LSTM) [12] and or a Neural Bag-of-Features (N-BoF) [16] network generalizing the (discriminant) Bag-of-Feature model (BoF) [17] were proposed to perform the same prediction task.”
- Time-series classification using neural Bag-of-Features (2017, methodology): “, removing unnecessary event messages) the handcrafted features described in [13]”