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NAVAL RESEARCH LAB WASHINGTON DC CENTER FOR APPLIED RESEARCH IN ARTIFICIAL INTELLIGENCE (4)
Adams, William (2)
Brock, Derek (2)
Bugajska, Magdalena (2)
NAVAL POSTGRADUATE SCHOOL MONTEREY CA (2)
Perzanowski, Dennis (2)
STANFORD UNIV CA CENTER FOR THE STUDY OF LANGUAGE AND INFORMATION (2)
Trafton, J. G. (2)
UNIVERSITY OF SOUTHERN CALIFORNIA MARINA DEL REY CA INST FOR CREATIVE TECHNOLOGIES (2)
Wauchope, Kenneth (2)
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Hits 1 – 20 of 24
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)
Abstract:
The CALO Meeting Assistant is a multimodal meeting assistant technology that integrates speech, gestures, and multimodal data collected from multiparty interactions during meetings. Using machine learning and robust discourse processing, it provides a rich, browsable record of a meeting. For nearly as long as people have been holding meetings, they have been thinking up ways to make them more bearable. Recent advances include technologies that integrate the processing of speech, natural language understanding, vision, and multimodal interaction to produce tools that perceive what happens at a meeting, extract salient events, and produce a reliable record. The ICSI Meeting Project sought to produce automated and segmented transcripts from natural, multi-party speech during meetings, while the ISL Smart Meeting Room Task and the M4 and AMI projects instrumented meeting rooms to collect data on behaviors so the interactions of meeting participants could be analyzed to produce flexible records of their activities, while providing a supportive environment for collaboration. Akin to the latter, the CALO Meeting Assistant collects data about the behaviors of people in meetings, assimilating speech, movement, and note-taking data to create a rich representation of a meeting that can be analyzed and reviewed at many levels. In addition, the CALO Meeting Assistant integrates its observations with those of a larger system of agents, which assesses the meeting data in the context of the ongoing projects and workflow for each of the meeting participants. Thus, our meeting assistant aims to reach beyond an intelligent room that understands only the activities of people in meetings, and attempts to understand their overarching concerns and interpret their behaviors from the perspective of what their meetings mean to them.
Keyword:
*ARTIFICIAL INTELLIGENCE
;
*LEARNING MACHINES
;
*SPEECH RECOGNITION
;
AUTOMATION
;
BEHAVIOR
;
CALO MEETING ASSISTANT
;
CALO(COGNITIVE AGENT THAT LEARNS AND ORGANIZES)
;
CONVERSATIONS
;
Cybernetics
;
DECISION MAKING
;
DIALOGUE
;
INTERACTIONS
;
Linguistics
;
MULTIMODE
;
NATURAL LANGUAGE
;
PROCESSING
;
RECORDS
;
SPEECH
;
Voice Communications
URL:
http://www.dtic.mil/docs/citations/ADA506397
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA506397
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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)
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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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