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Query Routing Mechanisms in Self-Organizing Search Systems.

, and . SISAP, page 132-139. IEEE Computer Society, (2009)

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On the Use of Grapheme Models for Searching in Large Spoken Archives., , , , , and . ICASSP, page 6259-6263. IEEE, (2018)Towards Efficient Human Action Retrieval Based on Triplet-Loss Metric Learning., , and . DEXA (1), volume 13426 of Lecture Notes in Computer Science, page 234-247. Springer, (2022)Motion Images: An Effective Representation of Motion Capture Data for Similarity Search., , and . SISAP, volume 9371 of Lecture Notes in Computer Science, page 250-255. Springer, (2015)SegmentCodeList: Unsupervised Representation Learning for Human Skeleton Data Retrieval., , and . ECIR (2), volume 13981 of Lecture Notes in Computer Science, page 110-124. Springer, (2023)Searching for variable-speed motions in long sequences of motion capture data., , and . Inf. Syst., (2019)Fast Subsequence Matching in Motion Capture Data., , and . ADBIS, volume 10509 of Lecture Notes in Computer Science, page 59-72. Springer, (2017)Face-Based People Searching in Videos., , and . ECIR, volume 7814 of Lecture Notes in Computer Science, page 853-856. Springer, (2013)Semantically Consistent Human Motion Segmentation., , and . DEXA (1), volume 8644 of Lecture Notes in Computer Science, page 423-437. Springer, (2014)Understanding the limits of 2D skeletons for action recognition., , and . Multim. Syst., 27 (3): 547-561 (2021)Recognizing User-Defined Subsequences in Human Motion Data., and . ICMR, page 395-398. ACM, (2019)