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» Discriminative Mixed-Membership Models
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ACL
2008
15 years 7 months ago
Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data
This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-o...
Jun Suzuki, Hideki Isozaki
ESANN
2007
15 years 7 months ago
An Estimation of Response Certainty using Features of Eye-movements
To examine the feasibility of estimating the degree of “strength of belief (SOB)” of viewer’s responses using support vector machines (SVM) trained with features of gazes, t...
Minoru Nakayama, Yosiyuki Takahasi
INTERSPEECH
2010
15 years 1 months ago
Investigation of full-sequence training of deep belief networks for speech recognition
Recently, Deep Belief Networks (DBNs) have been proposed for phone recognition and were found to achieve highly competitive performance. In the original DBNs, only framelevel info...
Abdel-rahman Mohamed, Dong Yu, L. Deng
ICPR
2002
IEEE
16 years 7 months ago
Improving Face Verification Using Skin Color Information
The performance of face verification systems has steadily improved over the last few years, mainly focusing on models rather than on feature processing. State-of-the-art methods o...
Sébastien Marcel, Samy Bengio
CICLING
2010
Springer
16 years 27 days ago
Chinese Event Descriptive Clause Splitting with Structured SVMs
: Chinese event descriptive clause splitting is the task of splitting a complex Chinese sentence into several clauses. In this paper, we present a discriminative approach for Chine...
Junsheng Zhou, Yabing Zhang, Xinyu Dai, Jiajun Che...