Based on isolated saliency or causal integration? Toward a better understanding of human annotation process using multiple instance learning and sequential probability ratio test

13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012

Volumn 1, Issue , 2012, Pages 618-621

  Lee, Chi Chun ^a   Katsamanis, Athanasios ^a   Georgiou, Panayiotis G ^a   Narayanan, Shrikanth S ^a  

^a Signal Analysis and Interpretation Laboratory SAIL   (United States)

Author keywords

Behavior annotation; Multiple instance learning; Observational coding; Perception; Sequential probability ratio test

Indexed keywords

BEHAVIOR ANNOTATION; BEHAVIORAL SCIENCE; HUMAN ANNOTATIONS; HUMAN PERCEPTION; MULTIPLE INSTANCE LEARNING; OBJECTIVE MEASURE; OBSERVATIONAL CODING; SEQUENTIAL PROBABILITY RATIO TEST;

COMPUTER APPLICATIONS; COMPUTER SIMULATION; SENSORY PERCEPTION;

LEARNING SYSTEMS;

EID: 84878411647     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. G. Margolin, P. Oliver, E. Gordis, H. O'Hearn, A. Medina, C. Ghosh, and L. Morland, "The nuts and bolts of behavioral observation of marital and family interaction," Clinical Child and Family Psychology Review, vol. 1, no. 4, pp. 195-213, 1998.
2. K. M. Lindahl, Methodological issues in family observational research. Erlbaum, 2001, ch. 2, pp. 23-31.
3. G. Humhprey, "The psychology of the gestalt," Journal of Educational Psychology, vol. 15(7), pp. 401-412, 1924.
4. A. Christensen, D. Atkins, S. Berns, J. Wheeler, D. H. Baucom, and L. Simpson, "Traditional versus integrative behavioral couple therapy for significantly and chronically distressed married couples," J. of Consulting and Clinical Psychology, vol. 72, pp. 176-191, 2004.
5. A. Katsamanis, J. Gibson, M. Black, and S. Narayanan, "Multiple instance learning for classification of human behavior observations," in Affective Computing and Intelligent Interaction, 2011, pp. 145-154.
6. M. P. Black, A. Katsamanis, B. R. Baucom, C.-C. Lee, A. C. Lammert, A. Christensen, P. G. Georgiou, and S. S. Narayanan, "Toward automating a human behavioral coding system for married couples interactions using speech acoustic features," Speech Communication, p. (in press), 2011. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0167639311001762
7. O. Maron and T. Lozano-Pérez, "A framework for multiple-instance learning," in Advances in neural information processing systems, 1998, pp. 570-576.
8. Q. Zhang and S. Goldman, "EM-DD: An improved multiple-instance learning technique," Advances in neural information processing systems, vol. 2, pp. 1073-1080, 2002.
9. A. Wald, "Sequential test of statistical hypotheses," The annals of mathematical statistics, vol. 16(2), pp. 117-186, 1945.
10. P. Georgiou, M. Black, A. Lammert, B. Baucom, and S. Narayanan, "'That's aggravating, very aggravating': Is it possible to classify behaviors in couple interactions using automatically derived lexical features?" in Affective Computing and Intelligent Interaction, 2011, pp. 87-96.
11. J. Yang, "MILL: A multiple instance learning library," online. [Online]. Available: http://www.cs.cmu.edu/juny/MILL/index.html
12. R. F. Baumeister, E. Bratslavsky, C. Finkenauer, and K. D. Vohs, "Bad is stronger than good," Review of General Psychology, vol. 5, pp. 323-270, 2001.
13. A. Kartik and S. S. Narayanan, "Data-dependent evaluator modeling and its application to emotional valence classification from speech," in Proceedings of Interspeech, 2010, pp. 2366-2369.
14. -, "Emotion classification from speech using evaluator reliability-weighted combination of ranked lists," in ICASSP, 2011, pp. 4956-4959.