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Segarceanu, Svetlana
Kepler-Rominfo SA
Bucuresti, Romania
 
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  Advances in electrodermal activity processing with applications for mental health: from heuristic methods to convex optimization
Greco A., Valenza G., Scilingo E.,  Springer International Publishing, New York, NY, 2016. 138 pp. Type: Book (978-3-319467-04-7)

Electrodermal activity (EDA) designates the variation in the electrical characteristics of the skin. The most pertinent property is skin conductance, quantified by measuring the current flow between two skin points when applying an electrical pote...

Oct 27 2017  
   Big data analytics: a management perspective
Corea F.,  Springer International Publishing, New York, NY, 2016. 48 pp. Type: Book (978-3-319389-91-2)

The big data concept started to form in the early 2000s; since then, organizations have been challenged with increasing, even alarming amounts of various types of data, generated by multiple sources such as social media exchanges, digital processe...

Apr 27 2017  
   Pervasive social computing: socially-aware pervasive systems and mobile applications
Kabir M., Han J., Colman A.,  Springer International Publishing, New York, NY, 2016. 282 pp. Type: Book (978-3-319299-49-5)

Social awareness applications or services are intended to handle remote communication by providing, automatically or in a supervised manner, hints about people’s current state or situation, or building a perception of the activities of inter...

Apr 7 2017  
  Nonlinear Laplacian for digraphs and its applications to network analysis
Yoshida Y.  WSDM 2016 (Proceedings of the 9th ACM International Conference on Web Search and Data Mining, San Francisco, CA,  Feb 22-25, 2016) 483-492, 2016. Type: Proceedings

This paper relates to spectral graph theory and more specifically concerns the case of digraphs, directed graphs. It proposes an alternative framework to existing digraph approaches, such as Chung’s, or the Diplacian, relying on stationary p...

Jul 28 2016  
  A new random approach for initialization of the multiple restart EM algorithm for Gaussian model-based clustering
Kwedlo W.  Pattern Analysis & Applications 18(4): 757-770, 2015. Type: Article

Initialization of Gaussian mixture model (GMM) parameters is crucial to the quality of the model because its training using the expectation-maximization (EM) algorithm is decidedly influenced by the initial values. An accepted approach to cope wit...

Mar 7 2016  
   Semi-supervised hybrid clustering by integrating Gaussian mixture model and distance metric learning
Zhang Y., Wen J., Wang X., Jiang Z.  Journal of Intelligent Information Systems 45(1): 113-130, 2015. Type: Article

Zhang et al. propose a semi-supervised clustering algorithm, called SSCGD, addressing a specific class of such techniques: probabilistic clustering. The algorithm optimizes a given Gaussian mixture model (GMM) by adding, on the one hand, more prob...

Jan 20 2016  
  GC1 shape-preserving trigonometric surfaces
Hussain M., Hussain M., Waseem A., Javaid M.  Journal of Mathematical Imaging and Vision 53(1): 21-41, 2015. Type: Article

This paper addresses the issue of interpolation for 3D surfaces, required in fields like robotics, data analysis and visualization, and animation. It proposes an interpolation algorithm that is able to generate 3D surfaces, developed on quadratic ...

Oct 8 2015  
  A novel similarity measure on intuitionistic fuzzy sets with its applications
Song Y., Wang X., Lei L., Xue A.  Applied Intelligence 42(2): 252-261, 2015. Type: Article

Intuitionistic fuzzy sets (IFS) represent a concept that addresses the analysis of not necessarily numerical variables by specifying, besides their membership and non-membership relations, a hesitancy factor to express the lack of knowledge about ...

Aug 6 2015  
  Automatic kernel clustering with bee colony optimization algorithm
Kuo R., Huang Y., Lin C., Wu Y., Zulvia F.  Information Sciences 283107-122, 2014. Type: Article

Clustering is an unsupervised classification approach extensively used in data mining and pattern recognition. Many clustering techniques have been developed so far. The value of each algorithm depends on the particular problem where it is applied...

Apr 8 2015  
  Message-passing programming for embedded multicore signal-processing platforms
Hung S., Chiu P., Tu C., Chou W., Yang W.  Journal of Signal Processing Systems 75(2): 123-139, 2014. Type: Article

The present-day tendency to use heterogeneous multicore profiles in digital signal processing applications is addressed in this paper, and the authors propose an optimized architecture to overcome difficulties in software programming, integration,...

Mar 23 2015  
 
 
 
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