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Time-segmentation- and Position-free Recognition from Video of Air-drawn Gestures and Characters., , , and . ICPRAM, page 588-599. SciTePress, (2014)Image classification based on segmentation-free object recognition., , , , and . ICIP, page 2157-2160. IEEE, (2010)The Real World Computing Program.. Artif. Intell. Rev., 8 (2-3): 105-111 (1994)Automatic model construction for a user oriented task using speech utterances., , and . KES, page 74-77. IEEE, (1999)A segmentation-free method for image classification based on pixel-wise matching., , , , , , and . J. Comput. Syst. Sci., 79 (2): 256-268 (2013)Automatic detection of topic boundaries and keywords in arbitrary speech using incremental reference interval-free continuous DP., , and . ICSLP, page 1946-1949. ISCA, (1996)Adaptation to gesture performers by an on-line teaching system for spotting recognition of gestures from a time-varying image., , , and . Syst. Comput. Jpn., 31 (1): 39-47 (2000)Segmentation-Free Object Recognition Using Full Pixel Matching., , , and . CIT (2), page 283-288. IEEE Computer Society, (2009)978-0-7695-3836-5.Keynote speech I: Big data, non-big data, and algorithms for recognizing the real world data.. iCAST, page 1-4. IEEE, (2017)A comparative study of gesture recognition between RGB and HSV colors using time-space continuous dynamic programming., , , , and . iCAST/UMEDIA, page 185-191. IEEE, (2013)