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» Stochastic-based accuracy of data reconciliation estimators ...
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NIPS
2007
13 years 7 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
ICPR
2008
IEEE
14 years 7 months ago
Rapid signer adaptation for continuous sign language recognition using a combined approach of eigenvoices, MLLR, and MAP
Current sign language recognition systems are still designed for signer-dependent operation only and thus suffer from the problem of interpersonal variability in production. Appli...
Christoph Blömer, Karl-Friedrich Kraiss, Ulri...
ICASSP
2011
IEEE
12 years 10 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
MICCAI
2007
Springer
14 years 7 months ago
Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh
MCS
2002
Springer
13 years 6 months ago
Multiclassifier Systems: Back to the Future
Abstract. While a variety of multiple classifier systems have been studied since at least the late 1950's, this area came alive in the 90's with significant theoretical a...
Joydeep Ghosh