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EMNLP
2009
15 years 4 months ago
A Probabilistic Model for Associative Anaphora Resolution
This paper proposes a probabilistic model for associative anaphora resolution in Japanese. Associative anaphora is a type of bridging anaphora, in which the anaphor and its antece...
Ryohei Sasano, Sadao Kurohashi
ICCTA
2007
IEEE
16 years 1 months ago
Modeling Time-Varying Population for Biometric Authentication
Population size plays a major role in determining the performance of any biometric authentication system, particularly when such systems are used for civilian applications. In thi...
Vandana Roy, C. V. Jawahar
176
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ICIP
1999
IEEE
15 years 11 months ago
Forward Adaptive Modeling for Context-Based Compression of Large Binary Images in Applications Requiring Spatial Access
A method for compression of large binary images is proposed for applications where spatial access to the image is required. The proposed method is a two-stage combination of forwa...
Eugene I. Ageenko, Pasi Fränti
ICASSP
2011
IEEE
14 years 10 months ago
Worst-case based robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Haihua Chen, Alex B. Gershman
EMNLP
2010
15 years 4 months ago
Enhancing Domain Portability of Chinese Segmentation Model Using Chi-Square Statistics and Bootstrapping
Almost all Chinese language processing tasks involve word segmentation of the language input as their first steps, thus robust and reliable segmentation techniques are always requ...
Baobao Chang, Dongxu Han