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» Using feature models to automate model transformations
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NIPS
2000
15 years 8 months ago
Speech Denoising and Dereverberation Using Probabilistic Models
This paper presents a unified probabilistic framework for denoising and dereverberation of speech signals. The framework transforms the denoising and dereverberation problems into...
Hagai Attias, John C. Platt, Alex Acero, Li Deng
PAMI
2007
214views more  PAMI 2007»
15 years 6 months ago
2D Affine-Invariant Contour Matching Using B-Spline Model
—This paper presents a new affine-invariant matching algorithm based on B-Spline modeling, which solves the problem of the nonuniqueness of B-Spline in curve matching. This metho...
Yue Wang, Eam Khwang Teoh
ISNN
2005
Springer
16 years 8 days ago
Neural Network Based Online Feature Selection for Vehicle Tracking
Abstract. Aiming at vehicle tracking with a single moving camera for autonomous driving, this paper presents a strategy of online feature selection combined with related process fr...
Tie Liu, Nanning Zheng, Hong Cheng
AVBPA
2005
Springer
225views Biometrics» more  AVBPA 2005»
15 years 8 months ago
Video-Based Face Recognition Using Bayesian Inference Model
There has been a flurry of works on video sequence-based face recognition in recent years. One of the hard problems in this area is how to effectively combine the facial configu...
Wei Fan, Yunhong Wang, Tieniu Tan
ACSD
2010
IEEE
255views Hardware» more  ACSD 2010»
15 years 4 months ago
From POOSL to UPPAAL: Transformation and Quantitative Analysis
POOSL (Parallel Object-Oriented Specification Language) is a powerful general purpose system-level modeling language. In research on design space exploration of motion control syst...
Jiansheng Xing, Bart D. Theelen, Rom Langerak, Jac...