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The amount of speaker specific information in speech signal varies from frame to frame depending on spoken text and environmental conditions. A frame selection at the preprocessing stage can be an added advantage in this context. In pre-quantization (PQ) we select a new sequence of frames Y from the original frames X such that length of Y is less than X. In this paper, we first analyze a number of...
The multi-sensor multi-target localization and data fusion problem is discussed, and a novel data fusion method called grid-based probability density matrix (GBPDM) is proposed. Dividing the common observe space into numerous of small grids, the measurements containing uncertainties can be represented by their sampled probability density functions. By adding probability density of all measurements...
Computer-assisted assessment of summary writings is a challenging area which has recently attracted much interest from the research community. This is mainly due to the advances in other areas such as information extraction and natural language processing which have made automatic summary assessment possible. Different techniques such as Latent Semantic Analysis, n-gram co-occurrence and BLEU have...
The major weakness of associative classification is examined. A novel approach for classifying imbalanced dataset is proposed. It is an associative classification. Rules which are un-frequent are used to build the classifier rule set. Besides the confidence of pattern ldquoXrarrYrdquo, the confidence of pattern ldquoYrarrXrdquo is used in the approach. Further more, only features of rare classes are...
Malware has posted a great risk to the privacy of users and data. Unfortunately, current anomaly detection is both coarse-grained and ineffective to detect them, because some behaviors can only be triggered in specific circumstances, moreover, it is difficult to analyze and evaluate compromised data. In this paper, we address the two problems via taint-based analysis. First, we precisely characterize...
In this paper, we introduce new bounds on the system throughput and response time of closed, single-class BCMP queueing networks with load-dependent stations. Under the assumption that stations relative service rates are non-decreasing functions of their queue lengths, the bounds derive from the monotonicity of system throughput and queue-lengths and exploit the asymptotic equivalence that exists...
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