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- Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlow
- ICML
- 2006

The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction. It is shown that basicâ€¦ (More)

- Haoying Fu, Michael K. Ng, Mila Nikolova, Jesse L. Barlow
- SIAM J. Scientific Computing
- 2006

- Szu-Min Lu, Jesse L. Barlow
- SIAM J. Matrix Analysis Applications
- 1996

This paper studies the solution of the linear least squares problem for a large and sparse m by n matrix A with m n by QR factorization of A and transformation of the right-hand side vector b to Q Tâ€¦ (More)

- Jesse L. Barlow, Erwin H. Bareiss
- Computing
- 1985

Probabilistic models of floating point and logarithmic arithmetic are constructed using assumptions with both theoretical and empirical justification. The justification of these assumptions resolvesâ€¦ (More)

- Nela Bosner, Jesse L. Barlow
- SIAM J. Matrix Analysis Applications
- 2007

Two new algorithms for one-sided bidiagonalization are presented. The first is a block version which improves execution time by improving cache utilization from the use of BLAS 2.5 operations andâ€¦ (More)

- Haoying Fu, Michael K. Ng, Jesse L. Barlow
- SIAM J. Scientific Computing
- 2006

Abstract. The problem of 3Ã—3 color mixing image restoration is considered. The blurring matrices, as well as the observed image, are contaminated by noise; therefore the total least squares (TLS)â€¦ (More)

- Jesse L. Barlow
- SIAM J. Matrix Analysis Applications
- 2002

Bidiagonal reduction is the preliminary stage for the fastest stable algorithms for computing the singular value decomposition. However, the best error bounds on bidiagonal reduction methods are ofâ€¦ (More)

- Jesse L. Barlow, Erwin H. Bareiss
- Computing
- 1985

The probabilistic models for roundoff error in floating point and logarithmic arithmetic discussed in Barlow and Bareiss (1985) are applied to the error analysis of Gaussian elimination and someâ€¦ (More)

- Jesse L. Barlow, Hasan Erbay, Ivan Slapnicar
- SIAM J. Matrix Analysis Applications
- 2005

The ULV decomposition (ULVD) is an important member of a class of rank-revealing two-sided orthogonal decompositions used to approximate the singular value decomposition (SVD). It is useful inâ€¦ (More)

- Su Yan, Sofien Bouaziz, Dongwon Lee, Jesse L. Barlow
- Neurocomputing
- 2012

In this paper, we present a novel semi-supervised dimensionality reduction technique to address the problems of inefficient learning and costly computation in coping with high-dimensional data. Ourâ€¦ (More)