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» Joint adaptive space and frequency basis selection
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ICASSP
2011
IEEE
12 years 11 months ago
Subspace constrained LU decomposition of FMLLR for rapid adaptation
This paper describes subspace constrained feature space maximum likelihood linear regression (FMLLR) for rapid adaptation. The test speaker’s FMLLR rotation matrix is decomposed...
Lei Jia, Dong Yu, Bo Xu
ICPR
2006
IEEE
14 years 8 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
ICCV
2009
IEEE
15 years 10 days ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep
CORR
2007
Springer
76views Education» more  CORR 2007»
13 years 7 months ago
Power Optimal Scheduling for Guaranteed Throughput in Multi-access Fading Channels
Abstract— A power optimal scheduling algorithm that guarantees desired throughput and bounded delay to each user is developed for fading multi-access multi-band channels that can...
Prasanna Chaporkar, Kimmo Kansanen, Ralf R. Mü...
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 11 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia