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» Variational methods for the Dirichlet process
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ICIAP
2003
ACM
15 years 9 months ago
Dense 3D interpretation of image sequences: a variational approach using anisotropic diffusion
The purpose of this study is to investigate a new method for recovering relative depth and 3D motion from a temporal sequence of monocular images. The method is direct insomuch as...
Hicham Sekkati, Amar Mitiche
ICASSP
2009
IEEE
15 years 4 months ago
Covariate shift adaptation for semi-supervised speaker identification
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of nonstationarity such as session dependent variation, the reco...
Makoto Yamada, Masashi Sugiyama, Tomoko Matsui
IR
2008
14 years 9 months ago
An analysis on document length retrieval trends in language modeling smoothing
Abstract. Document length is widely recognized as an important factor for adjusting retrieval systems. Many models tend to favor the retrieval of either short or long documents and...
David E. Losada, Leif Azzopardi
ICASSP
2011
IEEE
14 years 1 months ago
A sliding-window online fast variational sparse Bayesian learning algorithm
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor
ICIP
2010
IEEE
14 years 7 months ago
Tensor-based image diffusions derived from generalizations of the Total Variation and Beltrami Functionals
We introduce a novel functional for vector-valued images that generalizes several variational methods, such as the Total Variation and Beltrami Functionals. This functional is bas...
Anastasios Roussos, Petros Maragos