This paper reports on the first steps taken in search of a solution that uses public video streams available on the Internet to address the increasing need for monitoring transportation networks with the intent of ret...
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The most common cause of traffic accidents is arguably the driver error due to lack of attention. And it is very unlikely this is going to change soon thanks to increasingly cell-phone usage, in-car entertainment syst...
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Biometric user authentication is a recent topic in the area of computer security. This paper presents a machine learning approach to single modality user authentication. Here support vector machines (SVM) are employed...
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Biometric user authentication is a recent topic in the area of computer security. This paper presents a machine learning approach to single modality user authentication. Here support vector machines (SVM) are employed to classify dynamic handwriting samples. The general goal of SVMs is to carry out binary classifications and/or to handle multiple class problems using a combination of different SVMs. Here a multi-class SVM is proposed to execute verification as well as identification of persons based on their handwriting using a given PIN and a freely chosen PIN. In the best case (trade-off for all rates) for verification using the free PIN a false acceptance rate (FAR) of 0.0083 and an attacker acceptance rate (AAR) of 0.0241 are determined while the false rejection rate (FRR) yields zero. In identification mode using the free PIN, we observe a FRR of 0.0083 and an attacker identification rate (AIR) of 0.2195 at a false identification rate (FIR) level of zero in our experiments.
Personal Navigation Assistants (PNA) depend on updated digital maps for correctly positioning and route guiding users. As updating digital maps by the usual means is a highly expensive and time consuming task, GPS poi...
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The objective of this study is the classification of the breast ductal tree structures appearing in galactograms in order to investigate the relation between topological properties of the tree-like parenchymal network...
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The objective of this study is the classification of the breast ductal tree structures appearing in galactograms in order to investigate the relation between topological properties of the tree-like parenchymal networks and radiological findings regarding breast cancer. We present two different methods to characterize the spatial distribution of branching points; a variation of Sholl's analysis and a sectoring technique. Similarity searches and k-nearest neighbor classification of the trees are performed using the cosine similarity metric. We applied our approach to clinical x-ray galactograms to distinguish between cases with reported radiological findings and cases with no reported findings. Experimental results illustrate the effectiveness of the proposed methods, indicating that our analysis can potentially aid in early breast cancer diagnosis.
Many people with severe disabilities find it difficult or even impossible to use traditional powered wheelchairs independently by manually controlling these electrical devices. Intelligent wheelchairs are a very good ...
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In this paper a new approach is proposed to increase the performance of the operation of error control on data transmission. Specifically, a hardware structure for parallel Cyclic Redundancy Check (CRC) calculation is...
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State observer design procedure is proposed for nonlinear locally Lipschitz systems. Possible presence of disturbances is taken into account. The solution is based on logic-based control approach applicable to nonline...
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State observer design procedure is proposed for nonlinear locally Lipschitz systems. Possible presence of disturbances is taken into account. The solution is based on logic-based control approach applicable to nonline...
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State observer design procedure is proposed for nonlinear locally Lipschitz systems. Possible presence of disturbances is taken into account. The solution is based on logic-based control approach applicable to nonlinear systems with bounded solutions.
This paper introduces a new way to measure rhythmic similarity between two musical pieces using periodicity spectra. In order to detect similarity for pieces of different tempi, the linearity of the warping path betwe...
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ISBN:
(纸本)9781424414833
This paper introduces a new way to measure rhythmic similarity between two musical pieces using periodicity spectra. In order to detect similarity for pieces of different tempi, the linearity of the warping path between their spectra serves as a measure of their rhythmic similarity. Using a modified kNN classification approach on two datasets, the proposed measure provides comparable classification accuracy (82.1%) to the best of widely used measures (85.5%) for the first dataset;For the second dataset, which is characterized by a large variance of tempi, the proposed measure outperforms all reference measures, reaching an accuracy of 69.0%, while the best of the other measures reaches 53.8%. Moreover, the presented technique works fully automatically, and no information regarding tempo is needed.
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