Two algorithms that have been used for shallow water simulations on unstructured meshes are the generalized wave continuity (GWC) algorithm and selective mass lumping (SLFE). Both produce noise free solutions; the former by its ability to propagate short wave components, and the latter by its ability to damp the short waves that are not propagated. Recently, the finite volume method, which has ...

This paper describes a fast and robust Gabor feature based approach for face recognition. The most discriminative Gabor features are selected by the AdaBoost procedure, which are then subjected to the Generalized Discriminant Analysis (GDA) process for further class separability enhancement. Compared with the huge number of features used by typical classification algorithms using Gabor fiters, ...

Nowadays, human activity recognition is considered to be one of the fundamental topics in computer vision research areas, including human-robot interaction. In this work, a novel method is proposed utilizing the depth and optical flow motion information of human silhouettes from video for human activity recognition. The recognition method utilizes enhanced independent component analysis (EICA) ...

Wave continuity equation models were introduced in 1979 by Lynch and Gray as a means to suppress spurious oscillations that appeared in finite element models based on the primitive equations. Since then, the basic algorithm has been studied and tested extensively; with subsequent modifications and extensions, it has proven to be a computationally efficient, reliable algorithm for predicting the...

Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Recently, a novel LDA algorithm based on QR Decomposition, namely LDA/QR, has been proposed, which is competitive in terms of classification accuracy with other LDA algorithms, but it has much lower costs in time and spa...

This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face recognition system. The algorithm uses mutual information to eliminate redundancy among Gabor features selected using the AdaBoost algorithm. Selected Gabor features are then subjected to Generalized Discriminant Analysis (GDA) for class se...

This Generalized Discriminant Analysis (GDA) has provided an extremely powerful approach to extracting non-linear features. The network traffic data provided for the design of intrusion detection system always are large with ineffective information, thus we need to remove the worthless information from the original high dimensional database. To improve the generalization ability, we usually gen...

Internet routing is at an important crossroad. The current global routing table, which is largely based on IPv4 addresses, has been growing at an alarming rate over the last few years, despite the constraints by the shortage of IPv4 addresses. IPv6 removes the address shortage problem, however its deployment may potentially further exacerbate the routing scalability challenges facing us today. ...

Most distribution network design models considered to date have focused on minimizing fixed costs of facility location and transportation costs. Measures of customer satisfaction driven by the operational dynamics such as lead times have seldom been considered. We consider the design of an outbound supply chain network considering lead times, location of distribution facilities and choice of tr...

Olds, Cowan and Jolicoeur (2000) showed that although the mechanisms underlying visual search have traditionally been assumed to be independent, they in fact interact. Using coloured disk stimuli, they interrupted pop-out search (target plus D1 distractors) by adding more distractors (D2s) of a different colour to the display before pop-out processes were able to find the target. In short, part...