the paper describes some face detection algorithms using motion detection, skin color segmentation, Haar-like features and neural networks. the face candidate selection stages label promising input image areas that ma...
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ISBN:
(纸本)9781424413478
the paper describes some face detection algorithms using motion detection, skin color segmentation, Haar-like features and neural networks. the face candidate selection stages label promising input image areas that may contain faces. then, the cascade of the simplified retinally connected neural networks' ensembles performs the final classification of the rest image windows using improved face search strategy across scale and position. the cascade allows speed image processing using small and fast neural networks. the proposed search strategy applies inverse image scale pyramid, adaptive scanning step and window acceptance to decrease the number of windows which should be processed by the classifier.
Mobile recommender systems have the potential to substantially enrich tourist experiences. But handling mobile devices marks a big challenge for ordinary users. the acceptance and usability of such a mobile tour recom...
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ISBN:
(纸本)9781424413478
Mobile recommender systems have the potential to substantially enrich tourist experiences. But handling mobile devices marks a big challenge for ordinary users. the acceptance and usability of such a mobile tour recommender can only be evaluated when utilized by the intended user group itself - real tourists. In afield trial in Gorlilz (Germany), 421 tourists explored the city with one of two different mobile information systems, a proactive recommender of personalized tours and a pull service presenting context-based information on demand A third group of tourists was tracked by GPS receivers during their exploration of the destination relying on traditional means of information. Results point out that both mobile applications gained a high level of acceptance by providing an experience very similar to a traditional guided tour. Compared to the group tracked by GPS loggers, tourists using a mobile information system discovered four times more sights and stayed at them twice as long.
In this article we propose the novel approach related to detection false biometric data which relies on analyses of templates instead of fingerprint images.
ISBN:
(纸本)9781424448814
In this article we propose the novel approach related to detection false biometric data which relies on analyses of templates instead of fingerprint images.
the piezodrivers are often used in nanopositioning systems. they need very precise and in time operating. the possibility of neural networks ideology for such system controller designing is discussed in this paper.
ISBN:
(纸本)9781424448814
the piezodrivers are often used in nanopositioning systems. they need very precise and in time operating. the possibility of neural networks ideology for such system controller designing is discussed in this paper.
Using a characteristic function method the mixing property and ergodicity of strictly stationary continuous-time linear random process driven by process with independent increments have been proven.
ISBN:
(纸本)9781424448814
Using a characteristic function method the mixing property and ergodicity of strictly stationary continuous-time linear random process driven by process with independent increments have been proven.
Clustering multiple-instances in a multi-relational environment requires data transformations (e.g. data aggregation) from datasets stored in multiple tables into a single table. Unfortunately, most relational databas...
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ISBN:
(纸本)9781424413478
Clustering multiple-instances in a multi-relational environment requires data transformations (e.g. data aggregation) from datasets stored in multiple tables into a single table. Unfortunately, most relational databases are limited to a few basic methods of aggregation (e.g. max, min, sum, count, ave) to aggregate continuous and categorical values. therefore, data transformation is limited only to aggregation of continuous and categorical values. In this paper, to get the best number Of clusters, we propose a genetic semi-supervised clustering technique as a means of aggregating data stored in multiple tables. this algorithm is suitable for classification of datasets with a high degree of one-to-many associations, in which a single record has multiple instances that are associated with it. the clustering algorithm can be used in two ways. One is the unsupervised clustering, where the user may control the result of clustering by optimizing the value of cluster dispersion. the other is a semi-supervised clustering, where the user uses an unsupervised clustering method optimized with a genetic algorithm incorporating a measure of classification accuracy used in decision tree algorithm, the GINI index. In this paper, we examine both methods to dynamically cluster multiple instances, as a means of aggregating them, and illustrate the effectiveness of the semi-supervised genetic algorithm-based clustering technique.
A paper presents the ontology creation approach, based on evolutional sequences. the universal system of accumulation of the applied scientific knowledge is proposed. the method of compression of text content also is ...
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ISBN:
(纸本)9781424448814
A paper presents the ontology creation approach, based on evolutional sequences. the universal system of accumulation of the applied scientific knowledge is proposed. the method of compression of text content also is discussed.
the paper deals withthe statistical characterization of the so-called r.m.s. value of a harmonic subgroup defined in the Standard IEC 61000-4-7 regarding harmonics and interharmonics measurements and instrumentation ...
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ISBN:
(纸本)9781424448814
the paper deals withthe statistical characterization of the so-called r.m.s. value of a harmonic subgroup defined in the Standard IEC 61000-4-7 regarding harmonics and interharmonics measurements and instrumentation for power supply systems and equipment connected thereto. A complete statistical characterization is provided in terms of probability density function, cumulative distribution function, and statistical moments by exploiting the properties of noise propagation through the discrete Fourier transform.
this paper presents an approach of data encoding algorithm and forming of electronic digital signature in the residue number system, in what cryptography stability depends not only on length and numbers of the keys, b...
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ISBN:
(纸本)9781424448814
this paper presents an approach of data encoding algorithm and forming of electronic digital signature in the residue number system, in what cryptography stability depends not only on length and numbers of the keys, but also from the chosen system of bases.
this paper presents data coding method in computer networks, which provides opportunity of errors detection in data bursts and partial errors correcting due to use of pseudorandom sequence and four signal elements for...
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ISBN:
(纸本)9781424448814
this paper presents data coding method in computer networks, which provides opportunity of errors detection in data bursts and partial errors correcting due to use of pseudorandom sequence and four signal elements for signal introduction in physical level of communication channel.
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