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Yadav, Nagesh, Bleakley, Chris,
The paper proposes a hybrid Bayesian approach for multi-sensor data fusion for 3D localization. The approach addresses the problem of fusing range-based and sourceless localization estimates under con...
complete descriptionhttp://hdl.handle.net/10197/3965
El Ayadi, Moataz,
The closed-set speaker identification problem is defined as the search within a set of persons for the speaker of a certain utterance. It is reported that the Gaussian mixture model (GMM) classifier a...
complete descriptionhttp://hdl.handle.net/10012/4036
R. Cubarsi,
An analytical model based on the maximum entropy approach is proposed to describe the eventual asymmetries of the velocity distribution, which are collected through its sample moments. If an extended ...
complete descriptionhttp://publications.edpsciences.org/10.1051/0004-6361/200912836/pdf
Xu, Lei, Johnson, Timothy D., Nichols, Thomas E., Nee, Derek E.,
The aim of this article is to develop a spatial model for multi-subject fMRI data. There has been extensive work on univariate modeling of each voxel for single and multi-subject data, some work on sp...
complete descriptionhttp://hdl.handle.net/2027.42/65339
Mukherjee, Sayan, Vapnik, Vladimir,
We formulate density estimation as an inverse operator problem. We then use convergence results of empirical distribution functions to true distribution functions to develop an algorithm for multivari...
complete descriptionhttp://hdl.handle.net/1721.1/7260
Wan, Yi, Nowak, Robert David,
This paper presents a novel wavelet-based method for simultaneous image restoration and edge detection. The Bayesian framework developed here is general enough to treat a wide class of linear inverse ...
complete descriptionhttp://hdl.handle.net/1911/20436
Wan, Yi, Nowak, Robert David,
In this paper we develop a wavelet-based statistical method for solving linear inverse problems. The Bayesian framework developed here is general enough to treat a wide class of linear inverse problem...
complete descriptionhttp://hdl.handle.net/1911/20439
Catherine Matias,
This paper deals with semiparametric convolution models, where the noise sequence has a Gaussian centered distribution, with unknown variance. Non-parametric convolution models are concerned with the ...
complete descriptionhttp://publications.edpsciences.org/10.1051/ps:2002015/pdf
Wan, Yi, Nowak, Robert David,
In this paper we develop a wavelet-based statistical method for solving the image restoration problem. In this approach, a signal prior is set up by modeling the image wavelet coefficients as independ...
complete descriptionhttp://hdl.handle.net/1911/20440
Leung, Shing Yu, Liang, Gang, Solna, Knut, Zhao, Hongkai,
We develop an expectation-maximization algorithm with local adaptivity for image segmentation and classification. The key idea of our approach is to combine global statistics extracted from the Gaussi...
complete descriptionhttp://hdl.handle.net/1783.1/6615