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1	Multi-mode resonator for ultra-wide bandpass filter with good stopband performance
	Подшивалов, Иван Валерьевич; Савишников, Максим Олегович; Лексиков, Андрей Александрович. - 2019
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2	Multimode and Multilevel: Vertical Dimension in Historical and Literary Networks
	Grandjean, Martin
	In: Digital Humanities 2017 ; https://halshs.archives-ouvertes.fr/halshs-01525539 ; Digital Humanities 2017, Aug 2017, Montreal, Canada (2017)
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3	ТРАНСЛАТОЛОГИЧЕСКАЯ СПЕЦИФИКА ЛОКАЛИЗАЦИИ ЭКРАННОГО ТЕКСТА В ТЕЛЕСЕРИАЛЕ «ШЕРЛОК»
	КОРЧАГИН СЕРГЕЙ СЕРГЕЕВИЧ; КРАВЧЕНКО АЛЬБИНА КОЖОБАЕВНА. - : АНС «СибАК», 2016
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4	Robust Multimodal Cognitive Load Measurement
	Chen, Fang
	In: DTIC (2014)
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5	Authorship Attribution of Short Messages Using Multimodal Features
	Boutwell, Sarah R.
	In: DTIC (2011)
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6	Dual-Task Performance with Center-Surround Auditory-Only Displays
	Santoro, Thomas P.; Wakefield, Gregory H.; Kieras, David B.
	In: DTIC (2009)
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7	Multimodal Meeting Capture and Understanding with the CALO Meeting Assistant
	Ehlen, Patrick
	In: DTIC (2007)
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8	Leveraging Multimodal Redundancy for Dynamic Learning, with SHACER - a Speech and HAndwriting reCognizER
	Kaiser, Edward C
	In: DTIC (2007)
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9	Ideas on Multi-layer Dialogue Management for Multi-party, Multi-conversation, Multi-modal Communication (Extended Abstract of Invited Talk)
	Traum, David R.
	In: DTIC (2006)
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10	Issues in Corpus Development for Multi-Party Multi-Modal Task-Oriented Dialogue
	Robinson, Susan; Martinovski, Bilyana; Garg, Saurabh...
	In: DTIC (2006)
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11	Cognitive Tools for Humanoid Robots in Space
	Sofge, Donald; Perzanowski, Dennis; Skubic, Marjorie...
	In: DTIC AND NTIS (2004)
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12	Multi-Human Dialogue Understanding for Assisting Artifact-Producing Meetings
	Niekrasz, John; Gruenstein, Alexander; Cavedon, Lawrence
	In: DTIC (2004)
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13	Finding the FOO: A Pilot Study for a Multimodal Interface
	Perzanowski, Dennis; Brock, Derek; Adams, William...
	In: DTIC AND NTIS (2003)
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14	Learning to Identify TV News Monologues by Style and Context
	Snoek, Cees G.; Hauptmann, Alexander G.
	In: DTIC (2003)
	Abstract: This research focused on the problem of learning semantics from multimedia data associated with broadcast video documents. The authors proposed to learn semantic concepts from multimodal sources based on style and context detectors, in combination with statistical classifier ensembles. As a case study, they present their method for detecting the concept of news subject monologues. This approach had the best average precision performance amongst 26 submissions in the 2003 video track of the Text Retrieval Conference benchmark. Experiments were conducted with respect to individual detector contribution, ensemble size, and ranking mechanism. It was found that the combination of detectors is decisive for the final result, although some detectors might appear useless in isolation. Moreover, by using a probabilistic ranking in combination with a large classifier ensemble, the results can be improved even further. ; Sponsored in part by the National Science Foundation under Cooperative Agreement No. NSF-IRI-9817496. Prepared in cooperation with the Dutch ICES/KIS Multimedia Information Analysis project and TNO Institute of Applied Physics, Delft, The Netherlands. The original document contains color images.
	Keyword: AUTOMATION; DETECTION; DIGITAL RECORDING SYSTEMS; FEATURE EXTRACTION; MULTIMODE; NEWS BROADCASTING; PATTERN RECOGNITION; TELEVISION BROADCASTING; VIDEO RECORDING; VIDEO RETRIEVAL; ARTIFICIAL INTELLIGENCE; AUTOMATIC INDEXING; BROADCAST NEWS VIDEO; CASE STUDIES; CLASSIFICATION; CLASSIFIER ENSEMBLES; CONTENT ANALYSIS; CONTEXT DETECTORS; Cybernetics; DIGITAL VIDEOS; FACE RECOGNITION; FACIAL FEATURES; Information Science; LEARNING MACHINES; Linguistics; MACHINE AIDED INDEXING; MULTIMODAL ANALYSIS; MULTIMODAL PEOPLE DETECTION; NEWS SUBJECT MONOLOGUES; PROBABILITY; RANKING; Recording and Playback Devices; SEMANTIC LEARNING; SEMANTICS; SPEAKER FEATURES; SPEECH TRANSCRIPT FEATURES; STATISTICAL ANALYSIS; STATISTICAL CLASSIFICATION; STYLE DETECTORS; TELEVISION SYSTEMS; TRECVID BENCHMARK; TV BROADCASTING; VIDEO INDEXING
	URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458538 http://www.dtic.mil/docs/citations/ADA458538
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15	Multimodal Speaker Authentication using Nonacoustic Sensors
	Campbell, W. M.; Quatieri, T. F.; Campbell, J. P....
	In: DTIC (2003)
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16	Communicating with Teams of Cooperative Robots
	Perzanowski, D.; Schultz, A. C.; Adams, W....
	In: DTIC AND NTIS (2002)
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17	Multi-modal Speech Recognition Workshop 2002
	Yoon, Sung H.
	In: DTIC (2002)
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18	Towards a Computational Model of Sketching
	Forbus, Kenneth D.; Ferguson, Ronald W.; Usher, Jeffrey M.
	In: DTIC (2000)
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19	Two Multimodal Interfaces to Military Simulations
	Wauchope, Kenneth
	In: DTIC (1997)
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20	Semantic Content of Tactical Planning Analysed Through Multimodal Dialogues
	McCann, Carol; Boudreau, Ginette
	In: DTIC (1996)
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