In this paper, we propose two novel semantic event detection models, i.e., Two-dependence Bayesian Network (2d-BN) and Conditional Random Fields (CRFs).
In this paper, we propose two novel semantic event detection models,. i.e., Two-dependence Bayesian Network (2d-BN) and Conditional Random. Fields (CRFs). 2d-BN ...
Event detection models using 2d-BN and CRFs - ResearchGate
www.researchgate.net › publication › 22...
Nov 21, 2024 · In this paper, we propose two novel semantic event detection models, i.e., Two-dependence Bayesian Network (2d-BN) and Conditional Random ...
Event detection models using 2d-BN and CRFs · Author Picture Tao Wang. Intel China Research Center, Beijing, P.R. China · Author Picture Jianguo Li. Intel China ...
Event detection models using 2d-BN and CRFs. Conference Paper. Jan 2007.
Event Detection Models Using 2d-BN and CRFs · Computer Science. Conference on Multimedia Modeling · 2007.
Five different classification models, namely RFR_SUM, CRFs, Maximum Entropy, SVM and Semantic Similarity Model, are employed for polyphonic disambiguation.
In this paper, we propose two novel semantic event detection models, i.e., Two-dependence Bayesian Network (2d-BN) and Conditional Random Fields (CRFs). 2d-BN ...
- Automatic Detection and Recognition of Athlete Actions in Diving Video.- Event Detection Models Using 2d-BN and CRFs.- Video Histogram: A Novel Video ...
Abstract—This paper presents a deep neural network- conditional random field (DNN-CRF) system with multi-view features for sentence unit detection on ...