최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기지능정보연구 = Journal of intelligence and information systems, v.18 no.3, 2012년, pp.185 - 202
김성진 (국민대학교 비즈니스IT전문대학원) , 유은정 (경희대학교 경영대학) , 정민규 (경희대학교 경영대학) , 김재경 (경희대학교 경영대학) , 안현철 (국민대학교 경영정보학부)
.Since the value of information has been realized in the information society, the usage and collection of information has become important. A facial expression that contains thousands of information as an artistic painting can be described in thousands of words. Followed by the idea, there has recen...
Ahn, H., K. J. Kim, and I. G. Han, "Purchase Prediction Model using the Support Vector Machine", Journal of Intelligence and Information Systems, Vol.11, No.3(2005), 69-81.
Alvarado, N., "Arousal and Valence in the Direct Scaling of Emotional Response to Film Clips", Motivation and Emotion, Vol.21(1997), 323-348.
Andrews, M. A. W., "Why do we use facial expressions to convey emotions?", SCIENTIFIC American Mind, November/December(2010), 70.
Berry, M. J. A. and G. Linoff, Data Mining Techniques : For Marketing Sales and Customer Support, Wiley Computer Publishing, 1997.
Chang, C. C. and C. J. Lin, "LIBSVM : a library for support vector machines", ACM Transactions on Intelligent Systems and Technology, Vol.2, No.3(2011), 27:1-27:27. Software available at http://www.csie.ntu.edu.tw/- cjlin/libsvm (Downloaded 12 September, 2012).
Drucker, H., C. J. C. Burges, L. Kaufman, A. Smola, and V. Vapnik, "Support vector regression machines", In M. Mozer et al. (Eds), Advances in Neural Information Processing Systems, Vol.9(1997), 155-161.
Ekman, P., "Universals and Cultural Differences in Facial Expressions of Emotion", In J. Cole (Ed.), Nebraska Symposium on Motivation, Vol.19(1972), 207-282.
Ekman, P. and Frisen, W. V., Facial Action Coding System : A Technique for the Measurement of Facial Movement, Consulting Psychologists Press, 1978.
Go, H. J., D. J. Lee, and M. G. Chun, "An Emotion Recognition Method using Facial Expression and Speech Signal", Journal of the Korea Information Science Society : Software and Applications, Vol.31, No.6(2004), 799-807.
Han, S. J., K. C. Kwak., H. J. Go., S. S Kim, and M. G. Geun, "Facial Expression Recognition using ICA-Factorial Representation Method", Proceedings of the Korean Institute of Intelligent Systems Conference, Vol.13, No.3(2003), 371-376.
Hearst, M. A., Dumais, S. T., Osman, E., Platt, J., and Sch?lkopf, B., "Support vector machines", IEEE Intelligent Systems, Vol.13, No.4(1998), 18-28.
Henn, S., "How Did That Ad Make You Feel? Ask A computer", NPR, February 3, 2012, http: //www.npr.org/2012/02/03/146343563/how-d id-that-ad-make-you-feel-ask-a-computer (Accessed 12 September, 2012).
Hong, T. H. and T. S. Shin, "Using Estimated Probability from Support Vector Machines for Credit Rating in IT Industry", Proceedings of the Korea Intelligent Information System Society Conference, (2005), 509-515.
Joachims, T., "Text categorization with support vector machines", Proceedings of the European Conference on Machine Learning, (1998), 137-142.
Joo, J. T., K. J. Park., G. E. Ko., H. C. Yang, and K. B. Shim, "Emotion Recognition and Expression using Facial Expression", Proceedings of the Korean Institute of Intelligent Systems Conference, Vol.17, No.1(2007), 295- 298.
Kim, Y. J. and S. B. Cho, "A Context-Aware Recommender System for Ringtones in a Mobile Phone using an Emotion Model", Proceedings of Korea Computer Congress, Vol.36, No.1(2009), 162-165.
Kim, Y. I., E. K. Shin, and T. H. Hong, "Comparison of Stock Price Index Prediction Performance Using Neural Networks and Support Vector Machine", The Journal of Internet Electronic Commerce Research, Vol.4, No.3(2004), 221- 243.
Kwon, O. R. and J. C. Chun, "HCI : 3D Facial Animation with Head Motion Estimation and Facial Expression Cloning", The KIPS Transactions : Part B, Vol.14, No.4(2007), 311-320.
Lane, R. and L. Nadel, Cognitive Neuroscience of Emotion, Oxford Univ Press, 2000.
Lee, C. H. and R. S. Moon, "Detection of Face-element for Facial Analysis", Journal of The Institute of Electronics Egineers of Korea, Vol.41, No.2(2004), 131-136.
Lee, S. Y. and I. B. Lee, "Pattern Classifier utilizing Fuzzy Theory and SVM", Proceedings of The 4th Regular Conference on Korean Securities Association, (2002), 787-809.
Lee, S. H., J. H. Bang, and S. R. Lee, "User Emotion Extraction Engine( $E^{3}$ ) based on Fuzzy Inference and Bayesian Networks in Smart Phone Environment", Proceedings of Korea Computer Congress, Vol.38, No.1(2011), 100-103.
Lewis, P. A., H. D. Critchley, P. Rotshtein, and R. J. Dolan, "Neural Correlates of Processing Valence and Arousal in Affective Words", Cerebral Cortex, Vol.17, No.3(2007), 742- 748.
Lu, C. J., T, S. Lee, and C. C. Chiu, "Financial time series forecasting using independent component analysis and support vector regression", Decision Support Systems, Vol.47, No.2(2009), 115-125.
Nicolaou, M., H. Gunes, and M. Pantic, "Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence- Arousal Space", IEEE Transactions on Affective Computing, Vol.2, No.2(2011), 92- 105.
Oliveira, A. M., M. P. Teixeira, I. B. Fonseca, and M. Oliveira, "Joint Model-Parameter Validation of Self-Estimates of Valence and Arousal : Probing a Differential-Weighting Model of Affective Intensity", Proceedings of the 22nd Annual Meeting of the International Society for Psychophysics, (2006), 245-250.
Osuna, E., R. Freund, and F. Girosi, "Training support vector machines : an application to face detection", Proceedings of Computer Vision and Pattern Recognition, (1997), 130-136.
Park, J. M., K. J. Kim, and I. G. Han, "Bankruptcy Prediction using Support Vector Machines", Asia Pacific Journal of Information Systems, Vol.15, No.2(2005), 51-63.
Park, M. H., H. D. Ko, and H. R. Byun, "Analysis and Synthesis of Facial Expression using Base Faces", Journal of the Korea Information Science Society : Software and Applications, Vol.27, No.8(2000), 827-833.
Russell, J. A., "Pancultural aspects of the human conceptual organization of emotions", Journal of Personality and Social Psychology, Vol.45, (1983), 1281-1288.
Schuessler, J., The Social-Cue Reader, The New York Times, December 10, 2006, http://www. nytimes.com/2006/12/10/magazine/10sec tion3b.t-2.html.
Shin, D. I., "A Trend in the technology of emotion recognition", Weekly Tech Trends Report, No.1283(2007), 1-9.
Shim, J. H., "A Differential Pricing Model for Industrial Land based on Locational Characteristics", Journal of the Korean Society of Civil Engineers, Vol.31, No.2D(2011), 303-314.
Son, T. S., J. U. Seo., J. T. Seo., J. S. Mun, and H. M. Choe, "A Study on the Covert Channel Detection in the TCP/IP Header based on the Support Vector Machine", Journal of The Korea Institute of Information Security and Cryptology, Vol.14, No.1(2004), 35-45.
Tay, F. E. H. and Lijuan, C., "Application of support vector machines in financial time series forecasting", Omega : The International Journal of Management Science, Vol.29, No.4(2001), 309-317.
TV Daily, "Intel acquires Olaworks...The first case to companies in Korea", April, 17, 2012, http://tvdaily.mk.co.kr/read.php3?aid133462 3356306623016(Accessed 12 September, 2012).
Vapnik, V., Statistical Learning Theory, New York, NY : Wiley, 1998.
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