AUSDM
2008
Springer
14 years 25 days ago
2008
Springer
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...
SSPR
2000
Springer
14 years 2 months ago
2000
Springer
Abstract. For many statistical pattern recognition methods, distributions of sample vectors are assumed to be normal, and the quadratic discriminant function derived from the proba...
GECCO
2006
Springer
14 years 2 months ago
2006
Springer
In this paper, we propose a dynamic mechanism to vary the probability by which fitness inheritance is applied throughout the run of a multi-objective particle swarm optimizer, in ...
CVPR
2009
IEEE
14 years 2 months ago
2009
IEEE
Visual tracking is a key component in many computer vision applications. Linear subspace techniques (e.g. eigentracking) are one of the most popular approaches to align templates ...
PKC
1998
Springer
14 years 3 months ago
1998
Springer
Signcryption, first proposed by Zheng [4,5], is a cryptographic primitive which combines both the functions of digital signature and public key encryption in a logical single step,...
ICPR
2000
IEEE
14 years 3 months ago
2000
IEEE
For many pattern recognition methods, high recognition accuracy is obtained at very high expense of computational cost. In this paper, a new algorithm that reduces the computation...
CHES
2001
Springer
14 years 3 months ago
2001
Springer
Abstract. In this paper we show how using a representation of an elliptic curve as the intersection of two quadrics in P3 can provide a defence against Simple and Differental Powe...
ICTAI
2003
IEEE
14 years 4 months ago
2003
IEEE
This paper presents a simple ¢¤£¦¥¨§© Evolution Strategy and three simple selection criteria to solve engineering optimization problems. This approach avoids the use of a...
VLDB
2004
ACM
14 years 4 months ago
2004
ACM
Traditional databases have focused on the issue of reducing I/O cost as it is the bottleneck in many operations. As databases become increasingly accepted in areas such as Geograp...
WECWIS
2005
IEEE
14 years 4 months ago
2005
IEEE
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...