The analysis of spectral signals for features that represent physical phenomenon is ubiquitous in the science and engineering communities. There are two main approaches that can be taken to extract relevant features from these high-dimensional data streams. The first set of approaches relies on extracting features using a physics-based paradigm where the underlying physical mechanism that gener...

Symbolic Data Analysis (SDA) aims to to describe and analyze complex and structured data extracted, for example, from large databases. Such data, which can be expressed as concepts, are modeled by symbolic objects described by multivalued variables. In the present paper we present a new distance, based on the Wasserstein metric, in order to cluster a set of data described by distributions with ...

Symbolic data analysis (SDA) has gained popularity over the past few years because of its potential for handling data having a dependent and hierarchical nature. Amongst many methods for analyzing SDA data, exploratory data analysis (EDA: Tukey, (1977)) with graphical presentation is an important one. Recent developments of graphical and visualization tools for SDA include zoom star, closed sha...

Among numerous iterative methods for solving the minimal nonnegative solution of an M -matrix algebraic Riccati equation, the structure-preserving doubling algorithm (SDA) stands out owing to its overall efficiency as well as accuracy. SDA is globally convergent and its convergence is quadratic, except for the critical case for which it converges linearly with the linear rate 1=2. In this paper...

Research in sports, dance and rehabilitation has shown that basic action concepts (BACs) are fundamental building blocks of mental action representations. BACs are based on chunked body postures related to common functions for realizing action goals. In this paper, we outline issues in research methodology and an experimental method, the structural dimensional analysis of mental representation ...

The cooking of food is hypothesized to have played a major role in human evolution partly by providing an increase in net energy gain. For meat, cooking compromises the structural integrity of the tissue by gelatinizing the collagen. Hence, cooked meat should take less effort to digest compared to raw meat. Likewise, less energy would be expended digesting ground meat compared to intact meat. W...

Motivation This work addresses two common issues in building classification models for biological or medical studies: learning a sparse model, where only a subset of a large number of possible predictors is used, and training in the presence of missing data. This work focuses on supervised generative binary classification models, specifically linear discriminant analysis (LDA). The parameters a...

China and G7 countries contribute 70% global GDP 55% carbon emissions. The leakage between is a crucial issue in achieving the synergetic emission abatement globally. motivation of this study to evaluate embodied transfer trade 2000 2014, investigate driving factors that impact trend. A multiregional input–output (MRIO) model based on WIOD database constructed, structural decomposition analysis...

Force field-based calculations of all-silica zeolites show the role fluoride as a structure-directing agent (SDA). Calculations fully packed organic and SDAs were possible with an updated version zeoTsda software, based on Monte Carlo+Lattice Energy Minimization. Comparison between fluoride-containing fluoride-free using same SDA allowed us to predict which zeolite phase is obtained in hydroxid...