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@article{147787,
        author = {Sonal S. Kankal and A.P. Mane},
        title = {Comparing various techniques of Detection of facial expression with the algorithm ID3 (decision tree based)},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {10},
        pages = {506-511},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147787},
        abstract = {Identifying the feelings of others is additionally basic in building up connections and in creating enthusiastic correspondence. Precise acknowledgment and elucidation of outward appearances help people choose when to put forth socially satisfactory expressions and give direction in deciding methodology or withdrawal techniques in interpersonal exchanges. Understanding feelings amid early adolescence relates decidedly to the advancement of versatile social conduct. This paper points of interest the ID3 arrangement calculation. Simply, ID3 fabricates a choice tree from a settled arrangement of illustrations. The subsequent tree is utilized to group future examples. The case has a few ascribes and has a place with a class (like yes or no). The leaf hubs of the choice tree contain the class name though a non-leaf hub is a choice hub. The choice hub is a property test with every branch (to another choice tree) being a conceivable estimation of the quality. In this paper we compare all techniques of FER with ID3 algorithm.},
        keywords = {Facial Expression Recognition, Principle component Analysis (PCA), Recognition Rate, Singular Value Decomposition (SVD)},
        month = {},
        }