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k-mer frequency has been widely used as digital features of DNA fragments in microbial DNA recognition. However, to achieve ideal identification accuracy, it often needs to extract a nearly ten thousand-dimensional vector from DNA fragments as species labels. The high dimension of the feature vector will lead to excessive calculation loss. Rough set theory is a good method for attitude reduction but...
In this paper, we proposed a hand gesture recognition system for Human Computer Interaction purposes. We first adopted AdaBoost algorithm to detect the user's hand automatically from the video stream which is based on Haar-like features as the representation of hand gestures. Then, a Multi-class Support Vector Machines was used to training and recognition the hand gesture based on the Hu invariant...
Packet classification (PC) is one of the core technologies for next generation network service. The goal is to classify packet into different ??flow?? and classification result can be applied in differentiated service. Though many multi-dimensional classifications have been put forward, few of them could accomplish fast search speed, low storage requirements and fast updates at the same time, especially...
Packet classification (PC) is an important technology for next generation network services. Even though some PC algorithms for IPv6 have been proposed, most of them are precluded from commercial equipments due to high memory requirements, low searching speed, or expensive cost. In this paper, we propose an efficient paralleled IPv6 packet classification scheme; called Plus Bits and Bloom Filter based...
Distributed denial-of-service (DDoS) attacks present serious threats to servers in the Internet. We argue that the difference of the goals, manners and results of the interaction behaviors of normal flows and attack flows, which show different characteristics on IP addresses and ports. IAI (IP Address Interaction Feature) algorithm is proposed based on the addresses interaction, abrupt traffic change,...
An action can be represented as a sequence of salient postures. Effective modeling of the salient postures is critical for robust action recognition. This paper proposes to characterize the salient postures using a set of the spatio-temporal interesting points (STIPs). Local features are extracted at each STIP and the statistical distribution of the features for each salient posture is further modelled...
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