Matches in SemOpenAlex for { <https://semopenalex.org/work/W2617952597> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2617952597 abstract "As Facial Emotion Recognition is becoming more important everyday, A research experiment was conducted to find the best approach for Facial Emotion Recognition. Deep Learning (DL) and Active Shape Model (ASM) were tested. Researchers have worked with Facial Emotion Recognition in the past, with both Deep learning and Active Shape Model, with wanting to find out which approach is better for this kind of technology. Both methods were tested with two different datasets and our findings were consistent. Active shape Model was better when tested versus Deep Learning. However, Deep Learning was faster, and easier to implement, which means with better Deep Learning software, Deep Learning will be better in recognizing and classifying facial emotions. For this experiment Deep Learning showed accuracy for the CAFE dataset by 60% whereas Active Shape Model showed accuracy at 93%. Likewise with the JAFFE dataset; Deep Learning showed accuracy at 63% and Active Shape Model showed accuracy at 83%." @default.
- W2617952597 created "2017-06-05" @default.
- W2617952597 creator A5019888790 @default.
- W2617952597 creator A5020167838 @default.
- W2617952597 creator A5030429289 @default.
- W2617952597 date "2017-01-01" @default.
- W2617952597 modified "2023-09-27" @default.
- W2617952597 title "Active Shape Model vs. Deep Learning for Facial Emotion Recognition in Security" @default.
- W2617952597 cites W1900884525 @default.
- W2617952597 cites W2005628955 @default.
- W2617952597 cites W2033773055 @default.
- W2617952597 cites W2035161948 @default.
- W2617952597 cites W2046502752 @default.
- W2617952597 cites W2084502373 @default.
- W2617952597 cites W2097117768 @default.
- W2617952597 cites W2112393832 @default.
- W2617952597 cites W2112796928 @default.
- W2617952597 cites W2122458510 @default.
- W2617952597 cites W2143350951 @default.
- W2617952597 cites W2145310492 @default.
- W2617952597 cites W2150796889 @default.
- W2617952597 cites W2159017231 @default.
- W2617952597 cites W2568766347 @default.
- W2617952597 doi "https://doi.org/10.1007/978-3-319-59259-6_1" @default.
- W2617952597 hasPublicationYear "2017" @default.
- W2617952597 type Work @default.
- W2617952597 sameAs 2617952597 @default.
- W2617952597 citedByCount "1" @default.
- W2617952597 countsByYear W26179525972021 @default.
- W2617952597 crossrefType "book-chapter" @default.
- W2617952597 hasAuthorship W2617952597A5019888790 @default.
- W2617952597 hasAuthorship W2617952597A5020167838 @default.
- W2617952597 hasAuthorship W2617952597A5030429289 @default.
- W2617952597 hasConcept C108583219 @default.
- W2617952597 hasConcept C119857082 @default.
- W2617952597 hasConcept C144024400 @default.
- W2617952597 hasConcept C153180895 @default.
- W2617952597 hasConcept C154945302 @default.
- W2617952597 hasConcept C2777438025 @default.
- W2617952597 hasConcept C2779304628 @default.
- W2617952597 hasConcept C28490314 @default.
- W2617952597 hasConcept C31510193 @default.
- W2617952597 hasConcept C36289849 @default.
- W2617952597 hasConcept C41008148 @default.
- W2617952597 hasConcept C77967617 @default.
- W2617952597 hasConceptScore W2617952597C108583219 @default.
- W2617952597 hasConceptScore W2617952597C119857082 @default.
- W2617952597 hasConceptScore W2617952597C144024400 @default.
- W2617952597 hasConceptScore W2617952597C153180895 @default.
- W2617952597 hasConceptScore W2617952597C154945302 @default.
- W2617952597 hasConceptScore W2617952597C2777438025 @default.
- W2617952597 hasConceptScore W2617952597C2779304628 @default.
- W2617952597 hasConceptScore W2617952597C28490314 @default.
- W2617952597 hasConceptScore W2617952597C31510193 @default.
- W2617952597 hasConceptScore W2617952597C36289849 @default.
- W2617952597 hasConceptScore W2617952597C41008148 @default.
- W2617952597 hasConceptScore W2617952597C77967617 @default.
- W2617952597 hasLocation W26179525971 @default.
- W2617952597 hasOpenAccess W2617952597 @default.
- W2617952597 hasPrimaryLocation W26179525971 @default.
- W2617952597 hasRelatedWork W2009059481 @default.
- W2617952597 hasRelatedWork W2767629878 @default.
- W2617952597 hasRelatedWork W2770313115 @default.
- W2617952597 hasRelatedWork W2784257003 @default.
- W2617952597 hasRelatedWork W2798285655 @default.
- W2617952597 hasRelatedWork W2920534271 @default.
- W2617952597 hasRelatedWork W2956883224 @default.
- W2617952597 hasRelatedWork W2963999921 @default.
- W2617952597 hasRelatedWork W2969540327 @default.
- W2617952597 hasRelatedWork W2997514191 @default.
- W2617952597 hasRelatedWork W3005934279 @default.
- W2617952597 hasRelatedWork W3011029153 @default.
- W2617952597 hasRelatedWork W3014880347 @default.
- W2617952597 hasRelatedWork W3022665004 @default.
- W2617952597 hasRelatedWork W3126104431 @default.
- W2617952597 hasRelatedWork W3158894669 @default.
- W2617952597 hasRelatedWork W3176332703 @default.
- W2617952597 hasRelatedWork W3186519276 @default.
- W2617952597 hasRelatedWork W3205068595 @default.
- W2617952597 hasRelatedWork W3211172776 @default.
- W2617952597 isParatext "false" @default.
- W2617952597 isRetracted "false" @default.
- W2617952597 magId "2617952597" @default.
- W2617952597 workType "book-chapter" @default.