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The Pennsylvania State University CiteSeerX Archives (16)
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Simple Search
Hits 1 – 16 of 16
1
Under consideration for publication in Theory and Practice of Logic Programming 1 A Probabilistic Logic Programming Event Calculus
Anastasios Skarlatidis
;
Er Artikis
;
Georgios Paliouras
In: http://users.iit.demokritos.gr/~a.artikis/publications/artikis-TPLP.pdf (2012)
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2
External advisor(s):
Michał Marcińczuk
;
Niklas Lavesson
In: http://www.bth.se/fou/cuppsats.nsf/all/449af033ba2ef5acc125736e0045d807/$file/Michal.Marcinczuk_Master_Thesis_2007.09.19_bth_revised.pdf (2006)
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3
Event ordering using terseo system
E. Saquete
;
R. Muñoz
;
P. Martínez-barco
In: http://rua.ua.es:8080/bitstream/10045/2572/1/revista.pdf (2005)
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4
Familiar words capture the attention of 11-month-olds in less than 250 ms
Ca Marilyn Vihman
;
Mark Roberts
In: http://www.york.ac.uk/media/languageandlinguistics/documents/staff/publications/Thierry et al-Neurorep03.pdf (2003)
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5
Motion Events in Language and Cognition
Silvia Gennari
;
Steven A. Sloman
;
Barbara C. Malt
...
In: http://titan.cog.brown.edu:16080/~sloman/papers/Gennari_et_al.pdf (2002)
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6
Mining Temporal Patterns of Movement for Video Content Classification Michael Fleischman Cognitive Machines Group
In: http://www.mit.edu/~mbf/MIR_06.pdf
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7
Using Syntactic Dependencies and WordNet Classes for Noun Event Recognition
Yoonjae Jeong
;
Sung-hyon Myaeng
In: http://ceur-ws.org/Vol-902/paper_5.pdf
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8
Motion events in language and cognition
Silvia P. Gennaria
;
Steven A. Slomanb
;
Barbara C. Maltc
...
In: http://xcelab.net/rm/wp-content/uploads/2008/10/motion_events.pdf
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9
Video Content Classification
Phillip Decamp
;
Deb Roy
In: http://www.ismll.uni-hildesheim.de/lehre/semML-09s/script/p183-fleischman.pdf
Abstract:
Scalable approaches to video content classification are limited by an inability to automatically generate representations of events that encode abstract temporal structure. This paper presents a method in which temporal information is captured by representing events using a lexicon of hierarchical patterns of movement that are mined from large corpora of unannotated video data. These patterns are then used as features for a discriminative model of event classification that exploits tree kernels in a Support Vector Machine. Evaluations show the method learns informative patterns on a 1450-hour video corpus of natural human activities recorded in the home.
Keyword:
Categories and Subject Descriptors I.2.6 [Artificial Intelligence
;
Experimentation. Keywords Temporal Data Mining
;
Learning –knowledge acquisition. General Terms Algorithms
;
Support Vector Machine
;
Tree Kernel
;
Video Content Classification
;
Video Event Recognition
URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.8099
http://www.ismll.uni-hildesheim.de/lehre/semML-09s/script/p183-fleischman.pdf
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10
Video Content Classification
Phillip Decamp
;
Deb Roy
In: http://web.media.mit.edu/~dkroy/papers/pdf/fleischman_decamp_2006.pdf
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11
Mining Temporal Patterns of Movement for Video Event Recognition Michael Fleischman Cognitive Machines Group
In: http://www.media.mit.edu/cogmac/publications/MIR_06.pdf
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12
Manuscript statistics: Words: 14,000
Peter Ford Dominey
;
Jean-david Boucher
In: http://www.isc.cnrs.fr/dom/Dominey-AIJR5.pdf
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13
ERP Evidence for an Interaction between Phonological and Semantic Processes in Masked Priming Tasks
Caroline Jacquier
;
Aïcha Rouibah
In: http://www.ddl.ish-lyon.cnrs.fr/fulltext/Jacquier/Jacquier_2005_CogSci.pdf
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14
ERP Evidence for an Interaction between Phonological and Semantic Processes in Masked Priming Tasks
Caroline Jacquier
;
Aïcha Rouibah
In: http://www.psych.unito.it/csc/cogsci05/frame/poster/1/f718-jacquier.pdf
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15
ERP Evidence for an Interaction between Phonological and Semantic Processes in Masked Priming Tasks
Caroline Jacquier
;
Aïcha Rouibah
In: http://csjarchive.cogsci.rpi.edu/Proceedings/2005/docs/p1030.pdf
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16
Invited Paper A Hierarchical Framework for Understanding Human-Human
Interactions In Video Surveillance
In: http://www.cs.rochester.edu/u/spark/papers/Park_EI121_2005_invited.pdf
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