Matches in SemOpenAlex for { <https://semopenalex.org/work/W2950965506> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2950965506 abstract "The emotions evolved in human face have a great influence on decisions and arguments about various subjects. In psychological theory, emotional states of a person can be classified into six main categories: surprise, fear, disgust, anger, happiness and sadness. Automatic extraction of these emotions from the face images can help in human computer interaction as well as many other applications. Machine learning algorithms and especially deep neural network can learn complex features and classify the extracted patterns. In this paper, a deep learning based framework is proposed for human emotion recognition. The proposed framework uses the Gabor filters for feature extraction and then a Convolutional Neural Network (CNN) for classification. The experimental results show that the proposed methodology increases both of the speed training process of CNN and the recognition accuracy." @default.
- W2950965506 created "2019-06-27" @default.
- W2950965506 creator A5034492145 @default.
- W2950965506 creator A5054162470 @default.
- W2950965506 creator A5073073707 @default.
- W2950965506 date "2019-02-01" @default.
- W2950965506 modified "2023-10-12" @default.
- W2950965506 title "Fast Facial emotion recognition Using Convolutional Neural Networks and Gabor Filters" @default.
- W2950965506 cites W1538725615 @default.
- W2950965506 cites W2014185685 @default.
- W2950965506 cites W2107671593 @default.
- W2950965506 cites W2240555961 @default.
- W2950965506 cites W2621864722 @default.
- W2950965506 cites W2738672149 @default.
- W2950965506 cites W2755860313 @default.
- W2950965506 cites W2769501111 @default.
- W2950965506 cites W2773840829 @default.
- W2950965506 cites W2796604124 @default.
- W2950965506 cites W2797104929 @default.
- W2950965506 cites W2798150676 @default.
- W2950965506 cites W2883486536 @default.
- W2950965506 doi "https://doi.org/10.1109/kbei.2019.8734943" @default.
- W2950965506 hasPublicationYear "2019" @default.
- W2950965506 type Work @default.
- W2950965506 sameAs 2950965506 @default.
- W2950965506 citedByCount "26" @default.
- W2950965506 countsByYear W29509655062020 @default.
- W2950965506 countsByYear W29509655062021 @default.
- W2950965506 countsByYear W29509655062022 @default.
- W2950965506 countsByYear W29509655062023 @default.
- W2950965506 crossrefType "proceedings-article" @default.
- W2950965506 hasAuthorship W2950965506A5034492145 @default.
- W2950965506 hasAuthorship W2950965506A5054162470 @default.
- W2950965506 hasAuthorship W2950965506A5073073707 @default.
- W2950965506 hasConcept C108583219 @default.
- W2950965506 hasConcept C118552586 @default.
- W2950965506 hasConcept C144024400 @default.
- W2950965506 hasConcept C153180895 @default.
- W2950965506 hasConcept C154945302 @default.
- W2950965506 hasConcept C15744967 @default.
- W2950965506 hasConcept C206310091 @default.
- W2950965506 hasConcept C2777375102 @default.
- W2950965506 hasConcept C2778999518 @default.
- W2950965506 hasConcept C2779302386 @default.
- W2950965506 hasConcept C2779304628 @default.
- W2950965506 hasConcept C2779812673 @default.
- W2950965506 hasConcept C2779883129 @default.
- W2950965506 hasConcept C2780343955 @default.
- W2950965506 hasConcept C31510193 @default.
- W2950965506 hasConcept C36289849 @default.
- W2950965506 hasConcept C41008148 @default.
- W2950965506 hasConcept C52622490 @default.
- W2950965506 hasConcept C77805123 @default.
- W2950965506 hasConcept C81363708 @default.
- W2950965506 hasConceptScore W2950965506C108583219 @default.
- W2950965506 hasConceptScore W2950965506C118552586 @default.
- W2950965506 hasConceptScore W2950965506C144024400 @default.
- W2950965506 hasConceptScore W2950965506C153180895 @default.
- W2950965506 hasConceptScore W2950965506C154945302 @default.
- W2950965506 hasConceptScore W2950965506C15744967 @default.
- W2950965506 hasConceptScore W2950965506C206310091 @default.
- W2950965506 hasConceptScore W2950965506C2777375102 @default.
- W2950965506 hasConceptScore W2950965506C2778999518 @default.
- W2950965506 hasConceptScore W2950965506C2779302386 @default.
- W2950965506 hasConceptScore W2950965506C2779304628 @default.
- W2950965506 hasConceptScore W2950965506C2779812673 @default.
- W2950965506 hasConceptScore W2950965506C2779883129 @default.
- W2950965506 hasConceptScore W2950965506C2780343955 @default.
- W2950965506 hasConceptScore W2950965506C31510193 @default.
- W2950965506 hasConceptScore W2950965506C36289849 @default.
- W2950965506 hasConceptScore W2950965506C41008148 @default.
- W2950965506 hasConceptScore W2950965506C52622490 @default.
- W2950965506 hasConceptScore W2950965506C77805123 @default.
- W2950965506 hasConceptScore W2950965506C81363708 @default.
- W2950965506 hasLocation W29509655061 @default.
- W2950965506 hasOpenAccess W2950965506 @default.
- W2950965506 hasPrimaryLocation W29509655061 @default.
- W2950965506 hasRelatedWork W1980331490 @default.
- W2950965506 hasRelatedWork W2028755160 @default.
- W2950965506 hasRelatedWork W2079521622 @default.
- W2950965506 hasRelatedWork W2320066983 @default.
- W2950965506 hasRelatedWork W2810172795 @default.
- W2950965506 hasRelatedWork W2884236722 @default.
- W2950965506 hasRelatedWork W2945008475 @default.
- W2950965506 hasRelatedWork W3162580470 @default.
- W2950965506 hasRelatedWork W3167551411 @default.
- W2950965506 hasRelatedWork W4210397330 @default.
- W2950965506 isParatext "false" @default.
- W2950965506 isRetracted "false" @default.
- W2950965506 magId "2950965506" @default.
- W2950965506 workType "article" @default.