47 search results - page 4 / 10 » Understanding Statistical Disclosure: A Least Squares Approa... |
ML
2012
ACM
12 years 3 months ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
TSP
2010
13 years 2 months ago
2010
A quaternion widely linear (QWL) model for quaternion valued mean-squared-error (MSE) estimation is proposed. The augmented statistics are first introduced into the field of quater...
COMPGEOM
2004
ACM
14 years 1 months ago
2004
ACM
We present memory-efficient deterministic algorithms for constructing -nets and -approximations of streams of geometric data. Unlike probabilistic approaches, these deterministic...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
This paper presents a novel approach for model-based realtime tracking of highly articulated structures such as humans. This approach is based on an algorithm which efficiently pr...
NCA
2002
IEEE
13 years 7 months ago
2002
IEEE
Fitting gaussian peaks to experimental data is important in many disciplines, including nuclear spectroscopy. Nonlinear least squares fitting methods have been in use for a long t...