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Ontology learning from text: A look back and into the future.

, , and . ACM Comput. Surv., 44 (4): 20:1-20:36 (2012)

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Adaptive tilting angles for a dual-probe AFM system to increase image accuracy., , , , , and . AIM, page 1318-1223. IEEE, (2016)An improved algorithm for fingerprint image enhancement., , , , and . SIP, page 543-547. IASTED/ACTA Press, (2005)Spoken language recognition based on gap-weighted subsequence kernels., , , , and . Speech Commun., (2014)Discriminative Boosting Algorithm for Diversified Front-End Phonotactic Language Recognition., , , , and . J. Signal Process. Syst., 82 (2): 229-239 (2016)Text-Independent Speaker Verification via State Alignment., , , , and . Odyssey, ISCA, (2014)Homogenous ensemble phonotactic language recognition based on SVM supervector reconstruction., , , and . EURASIP J. Audio Speech Music. Process., (2014)State-Time-Alignment Phone Clustering Based Language-independent Phone Recognizer Front-end for Phonotactic Language Recognition., , , , , , , , , and 8 other author(s). ICCSE, page 863-867. IEEE, (2019)Lattice Based Transcription Loss for End-to-End Speech Recognition., , , , and . J. Signal Process. Syst., 90 (7): 1013-1023 (2018)Discriminative boosting regression backend for phonotactic language recognition., , and . ISCSLP, page 148-152. IEEE, (2014)Phonotactic language recognition based on DNN-HMM acoustic model., , , , , and . ISCSLP, page 153-157. IEEE, (2014)