scholarly journals Serial Quantization for Sparse Time Sequences

Author(s):  
Alejandro Cohen ◽  
Nir Shlezinger ◽  
Salman Salamatian ◽  
Yonina C. Eldar ◽  
Muriel Medard
Keyword(s):  
1999 ◽  
Author(s):  
B. K. Yi ◽  
N. D. Sidiropoulos ◽  
T. Johnson ◽  
H. V. Jagadish ◽  
C. Faloutsos

2020 ◽  
Vol 11 ◽  
pp. 163-183
Author(s):  
Barbara Szczerbińska

The aim of the article is to analyze the development of the description of experiences and the conceptualisation of feelings in the school essays. The author analyzes the proper part of the description of experiences prepared by primary school students; the interpretation consists of both treating the text as a product – the effect of using technology in the process of linguistic activity – as well as introducing the students’ textual abilities and skills. The analyzed texts include the authors’ own interpretations of their experiences, starting from the presentation of stimuli that triggered the given feelings, through describing the accompanying and emotional reactions, and ending with the description of the results derived from the experienced emotions. The essence of the description of experiences is the conceptualization of feelings, for the development of which students use three different schemas: simple time sequences, the contrast technique and the “kaleidoscope technique”.


2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Peng-Yu Chen ◽  
Hong-Ming Yu

Prediction of foundation or subgrade settlement is very important during engineering construction. According to the fact that there are lots of settlement-time sequences with a nonhomogeneous index trend, a novel grey forecasting model called NGM(1,1,k,c)model is proposed in this paper. With an optimized whitenization differential equation, the proposed NGM(1,1,k,c)model has the property of white exponential law coincidence and can predict a pure nonhomogeneous index sequence precisely. We used two case studies to verify the predictive effect of NGM(1,1,k,c)model for settlement prediction. The results show that this model can achieve excellent prediction accuracy; thus, the model is quite suitable for simulation and prediction of approximate nonhomogeneous index sequence and has excellent application value in settlement prediction.


2012 ◽  
Vol 68 (4) ◽  
pp. 1279-1284 ◽  
Author(s):  
Peter Wright ◽  
Vladimir Jellus ◽  
Dennis McGonagle ◽  
Matthew Robson ◽  
John Ridgeway ◽  
...  

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