PR
2008
13 years 4 months ago
2008
In this paper, we investigate the possibility of using heart sound as a biometric for human identification. The most significant contribution of using heart sound as a biometric is...
FSS
2007
13 years 4 months ago
2007
Previously, we introduced a biparametric family of cardinality-based fuzzy similarity measures. In this paper, we generalize this family by adding a third parameter. We also study...
ML
2006
ACM
13 years 4 months ago
2006
ACM
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
JMLR
2006
13 years 4 months ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
EJC
2007
13 years 4 months ago
2007
We construct algorithms for deciding essentially any minor-closed parameter, with explicit time bounds. This result strengthens previous results by Robertson and Seymour [1,2], Fr...
DM
2007
13 years 4 months ago
2007
7 We prove for a large class of parameters t and r that a multiset of at most t d−k + r d−k−2 points in PG(d, q) that blocks every k-dimensional subspace at least t times mu...
JCB
2006
13 years 4 months ago
2006
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
JIPS
2008
13 years 4 months ago
2008
: This paper deals with the geometric fitting algorithms for parametric curves and surfaces in 2-D/3-D space, which estimate the curve/surface parameters by minimizing the square s...
IVC
2008
13 years 4 months ago
2008
The best parameters defining the geometry of a visual sensor generally depend on the particular visual task the sensor is intended to be used in. However, translating task require...
IJSYSC
2008
13 years 4 months ago
2008
The problem of estimating motion and structure from a sequence of images has been a major research theme in machine vision for many years and remains one of the most challenging o...