532 search results - page 59 / 107 » Estimation of Time-Varying Parameters in Statistical Models:... |
BMVC
2001
13 years 10 months ago
2001
This paper extends 2D Active Shape Models to 2D+time by presenting a method for modelling and segmenting spatio-temporal shapes (ST-shapes). The modelling part consists of constru...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
JSAC
2006
13 years 7 months ago
2006
The responsiveness of networked applications is limited by communications delays, making network distance an important parameter in optimizing the choice of communications peers. S...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...