SCOPUS 정보 검색 플랫폼

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6353 LNCS, Issue PART 2, 2010, Pages 70-75

Semi-supervised facial expressions annotation using co-training with fast probabilistic tri-class SVMs

(4) Abdel Hady, Mohamed Farouk a Schels, Martin a Schwenker, Friedhelm a Palm, Günther a

a UNIVERSITY OF ULM (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY PROBLEMS; CLASSIFICATION ACCURACY; CO-TRAINING; DATA LABELING; FACIAL EXPRESSIONS; FAST LEARNING; HUMAN EXPERT; LABELED DATA; LEARNING FRAMEWORKS; MULTI-CLASS PROBLEMS; RECOGNITION ACCURACY; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING METHODS; SEQUENTIAL MINIMAL OPTIMIZATION ALGORITHMS; UNLABELED DATA;

IMAGE RETRIEVAL; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES;

NEURAL NETWORKS;

EID: 78049369750 PISSN: 03029743 EISSN: 16113349 Source Type: Book Series
DOI: 10.1007/978-3-642-15822-3_8 Document Type: Conference Paper

Times cited : (6)

References (7)

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- Kanade, T.¹ Cohn, J.² Tian, Y.L.³

2
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- Multi-classification by using Tri-class SVM
- Angulo, C., Ruiz, F. J., González, L., Ortega, J. A.: Multi-classification by using Tri-Class SVM. Neural Processing Letters 23(1), 89-101 (2006)
- (2006) Neural. Processing Letters , vol.23 , Issue.1 , pp. 89-101
- Angulo, C.¹ Ruiz, F.J.² González, L.³ Ortega, J.A.⁴

3
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- Taxonomy of large margin principle algorithms for ordinal regression problems
- MIT Press, Cambridge
- Shashua, A., Levin, A.: Taxonomy of large margin principle algorithms for ordinal regression problems. In: NIPS, vol. 15. MIT Press, Cambridge (2002)
- (2002) NIPS , vol.15
- Shashua, A.¹ Levin, A.²

4
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- New approaches to support vector ordinal regression
- Chu, W., Keerthi, S. S.: New approaches to support vector ordinal regression. In: Proc. of the 22nd Int. Conf. on Machine Learning, pp. 145-152 (2005)
- (2005) Proc. of the 22nd Int. Conf. on Machine Learning , pp. 145-152
- Chu, W.¹ Keerthi, S.S.²

5
- 0031620208
- Combining labeled and unlabeled data with Co-training
- Morgan Kaufmann, San Francisco
- Blum, A., Mitchell, T.: Combining labeled and unlabeled data with Co-Training. In: Proc. of the 11th Annual Conference on Computational Learning Theory, pp. 92-100. Morgan Kaufmann, San Francisco (1998)
- (1998) Proc. of the 11th Annual Conference on Computational Learning Theory , pp. 92-100
- Blum, A.¹ Mitchell, T.²

6
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- Disambiguating visual motion through contextual feedback modulation
- Bayerl, P., Neumann, H.: Disambiguating visual motion through contextual feedback modulation. Neural Comput. 16(10), 2041-2066 (2004)
- (2004) Neural. Comput. , vol.16 , Issue.10 , pp. 2041-2066
- Bayerl, P.¹ Neumann, H.²

7
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- Support vector machines using GMM supervectors for speaker verification
- Campbell, W. M., Sturim, D. E., Reynolds, D. A.: Support vector machines using GMM supervectors for speaker verification. IEEE Signal Processing Letters 13(5), 308-311 (2006)
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- Campbell, W.M.¹ Sturim, D.E.² Reynolds, D.A.³

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.