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TASLP
2008
143views more  TASLP 2008»
15 years 6 months ago
Strategies to Improve the Robustness of Agglomerative Hierarchical Clustering Under Data Source Variation for Speaker Diarizatio
Many current state-of-the-art speaker diarization systems exploit agglomerative hierarchical clustering (AHC) as their speaker clustering strategy, due to its simple processing str...
K. J. Han, S. Kim, S. S. Narayanan
TWC
2008
85views more  TWC 2008»
15 years 6 months ago
Improved BDFE Using A Priori Information for Turbo Equalization
Abstract-- Turbo equalization improves communication system performance by iteratively exchanging information between soft-input soft-output (SISO) equalizer and SISO channel decod...
Jingxian Wu, Sang-Yick Leong, Kah-Ping Lee, Chengs...
IAT
2009
IEEE
16 years 1 months ago
Improving Collaborations in Neuroscientist Community
In this paper, we present a new approach, called SATIS (Semantically AnnotaTed Intentions for Services), relying on semantic web technologies and models, to assist collaboration a...
Isabelle Mirbel, Pierre Crescenzo
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
16 years 1 months ago
Improved inverse-depth parameterization for monocular simultaneous localization and mapping
— Inverse-depth parameterization can successfully deal with the feature initialization problem in monocular simultaneous localization and mapping applications. However, it is red...
Evren Imre, Marie-Odile Berger, Nicolas Noury
ICPR
2008
IEEE
16 years 1 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji