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ICASSP
2011
IEEE
13 years 17 days ago
Discriminatively trained Probabilistic Linear Discriminant Analysis for speaker verification
Recently, i-vector extraction and Probabilistic Linear Discriminant Analysis (PLDA) have proven to provide state-of-the-art speaker verification performance. In this paper, the s...
Lukas Burget, Oldrich Plchot, Sandro Cumani, Ondre...
ICPR
2006
IEEE
14 years 2 months ago
Fast Linear Discriminant Analysis Using Binary Bases
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
Feng Tang, Hai Tao
COMPSAC
1999
IEEE
14 years 1 months ago
A Framework for Top-Down Cost Estimation of Software Development
The Function Point Method, estimation by analogy, and algorithmic modeling are three of the most commonly applied methods used to estimate the costs and worker hours neededfor a s...
Tsuneo Yamaura, Tohru Kikuno
CORR
2011
Springer
148views Education» more  CORR 2011»
13 years 3 months ago
How well can we estimate a sparse vector?
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
Emmanuel J. Candès, Mark A. Davenport
ICPR
2002
IEEE
14 years 10 months ago
Real-Time Tracking and Estimation of Plane Pose
In this paper we present a method to estimate in real-time the position and orientation of a previously viewed planar patch. The algorithm is based on minimising the sum of squared...
José Miguel Buenaposada, Luis Baumela