1886465
Learning a Rare Event Detection Cascade by Direct Feature Selection
Face detection is a canonical example of a rare event detection problem, in which target patterns occur with much lower frequency than non-targets. Out of millions of face-sized windows in an input image, for example, only a few will typically contain a face. Viola and Jones recently proposed a cascade architecture for face detection which successfully addresses the rare event nature of the task. A central part of their method is a feature selection algorithm based on AdaBoost. We present a novel cascade learning algorithm based on forward feature selection which is two orders of magnitude faster than the Viola-Jones approach and yields classifiers of equivalent quality. This faster method could be used for more demanding classification tasks, such as on-line learning.
2718321
Face recognition with one training image per person
At present there are many methods that could deal well with frontal view face recognition. However, most of them cannot work well when there is only one training image per person. In this paper, an extension of the eigenface technique, i.e. projection-combined principal component analysis, (PC)2A, is proposed. (PC)2A combines the original face image with its horizontal and vertical projections and then performs principal component analysis on the enriched version of the image. It requires less computational cost than the standard eigenface technique and experimental results show that on a gray-level frontal view face database where each person has only one training image, (PC)2A achieves 3-5% higher accuracy than the standard eigenface technique through using 10-15% fewer eigenfaces.
30465465
On Two Allocation Methods for Web Services
34431787
A uniform approach to software and hardware fault tolerance
Abstract In recent years, various attempts have been made to combine software and hardware fault tolerance in critical computer systems. In these systems, software and hardware faults may occur in many different sequences. The problem of how to incorporate these sequences in a fault-tolerant system design has been largely neglected in previous work. In this article, a uniform software-based fault tolerance method is proposed to distinguish and tolerate various sequences of software and hardware faults. This method can be based on the recovery block or the n-version programming scheme, two fundamental software fault tolerance schemes. The concept of fault identification and system reconfiguration tree is proposed to represent the procedure of fault identification and system reconfiguration in a systematic way.
17000130
Removable Edges in Longest Cycles of 4-Connected Graphs
Abstract.Let G be a 4-connected graph. For an edge e of G, we do the following operations on G: first, delete the edge e from G, resulting the graph G−e; second, for all vertices x of degree 3 in G−e, delete x from G−e and then completely connect the 3 neighbors of x by a triangle. If multiple edges occur, we use single edges to replace them. The final resultant graph is denoted by G⊖e. If G⊖e is 4-connected, then e is called a removable edge of G. In this paper we obtain some results on removable edges in a longest cycle of a 4-connected graph G. We also show that for a 4-connected graph G of minimum degree at least 5 or girth at least 4, any edge of G is removable or contractible.
17371165
QoS Routing in Hypercube Multicomputers
In this paper, we present a coding method to capture QoS information in hypercube multicomputers. The coding method is based on a localized algorithm where each node interacts with its neighbors to gather QoS information. Specifically, each node maintains a QoS vector where the k-th element represents the guaranteed QoS performance to a destination that is k hops away. The localized algorithm exhibits desirable properties of self-stabilizing, self-optimizing, and self-healing. Simulation results show that this coding method provides a good approximation of the minimum QoS value to a k-hop destination and, at the same time, uses a relatively small number of packets to propagate a change in link state (QoS value) compared with the classical distributed Bellman-Ford method.
16173468
A probabilistic voting-based filtering scheme in wireless sensor networks
In this paper, we study the fabricated report with false votes attack and the false votes on real reports attack in wireless sensor networks. Since most of the existing works addresses the first attack while leaving an easy way for the attackers to launch the second attack, we propose a probabilistic voting-based filtering scheme (PVFS) to deal with both of them simultaneously. On the basis of the en-route filtering scheme, PVFS combines cluster-based organization, probabilistic key assignment, and voting methods. Through both analysis and simulation, we demonstrate that PVFS could achieve strong protection against both attacks while maintaining a sufficiently high filtering power.