Výsledky vyhledávání - "Young Chol Song"

A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video

Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence. 26:2457-2458

We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGB-Depth cameras allow us to infer high-level visual features, such as the relative position of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b225de5357552b7c0e3d696f01c7d425
https://doi.org/10.1609/aaai.v26i1.8430

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Aligning movies with scripts by exploiting temporal ordering constraints

Autor: Iftekhar Naim, Daniel Gildea, Henry Kautz, Abdullah Al Mamun, Young Chol Song, Jiebo Luo

Publikováno v: ICPR

Scripts provide rich textual annotation of movies, including dialogs, character names, and other situational descriptions. Exploiting such rich annotations requires aligning the sentences in the scripts with the corresponding video frames. Previous w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7ab7acfe9086d40070e88a5ba50415c0
https://doi.org/10.1109/icpr.2016.7899895

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Interactive activity recognition and prompting to assist people with cognitive disabilities

Autor: Richard Levinson, Yi Chu, Henry Kautz, Young Chol Song

Publikováno v: Journal of Ambient Intelligence and Smart Environments. 4:443-459

This paper presents a model of interactive activity recognition and prompting for use in an assistive system for persons with cognitive disabilities. The system can determine the user's state by interpreting sensor data and/or by explicitly querying

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e9fe7347b7c618da711b8b8e7501ad7a
https://doi.org/10.3233/ais-2012-0168

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A Markov logic framework for recognizing complex events from multimodal data

Autor: Henry Kautz, Ce Zhang, Jiebo Luo, James F. Allen, Young Chol Song, Mary Swift, Yuncheng Li

Publikováno v: ICMI

We present a general framework for complex event recognition that is well-suited for integrating information that varies widely in detail and granularity. Consider the scenario of an agent in an instrumented space performing a complex task while desc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::de3d733d12664bb85364403a9b68909e
https://doi.org/10.1145/2522848.2522883

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Exact phrases in information retrieval for question answering

Autor: Young Chol Song, William Lahti, Svetlana Stoyanchev

Publikováno v: Coling 2008: Proceedings of the 2nd workshop on Information Retrieval for Question Answering - IRQA '08.

Question answering (QA) is the task of finding a concise answer to a natural language question. The first stage of QA involves information retrieval. Therefore, performance of an information retrieval subsystem serves as an upper bound for the perfor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c04e38e07e65356d4ca16f89b15eaaf
https://doi.org/10.3115/1641451.1641453

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Analyzing features for automatic age estimation on cross-sectional data

Autor: Peter Beyerlein, Elmar Nöth, Varada Kolhatkar, Blaise Potard, Andrew S. Cassidy, Puyang Xu, Young Chol Song, Stephen Shum, Werner Spiegl, Eva Lasarcyk, Georg Stemmer, James D. Harnsberger

Publikováno v: Scopus-Elsevier
INTERSPEECH

We develop an acoustic feature set for the estimation of a person’s age from a recorded speech signal. The baseline features are Mel-frequency cepstral coefficients (MFCCs) which are extended by various prosodic features, pitch and formant frequenc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e2ff51ce4484fc36421da367f29e557
http://www.scopus.com/inward/record.url?eid=2-s2.0-70450201151&partnerID=MN8TOARS

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Discriminative unsupervised alignment of natural language instructions with corresponding video segments

Autor: Daniel Gildea, Jiebo Luo, Henry Kautz, Iftekhar Naim, Liang Huang, Young Chol Song, Qiguang Liu

Publikováno v: Scopus-Elsevier
HLT-NAACL

We address the problem of automatically aligning natural language sentences with corresponding video segments without any direct supervision. Most existing algorithms for integrating language with videos rely on handaligned parallel data, where each

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c212e1365534788c5a505b080652a052
http://www.scopus.com/inward/record.url?eid=2-s2.0-84960146118&partnerID=MN8TOARS

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