Search results for "features"
showing 10 items of 263 documents
An Algorithm for Discretization of Real Value Attributes Based on Interval Similarity
2013
Discretization algorithm for real value attributes is of very important uses in many areas such as intelligence and machine learning. The algorithms related to Chi2 algorithm (includes modified Chi2 algorithm and extended Chi2 algorithm) are famous discretization algorithm exploiting the technique of probability and statistics. In this paper the algorithms are analyzed, and their drawback is pointed. Based on the analysis a new modified algorithm based on interval similarity is proposed. The new algorithm defines an interval similarity function which is regarded as a new merging standard in the process of discretization. At the same time, two important parameters (condition parameterαand ti…
Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-to-Fine Pseudo-Invariant Features Selection and Fuzzy Int…
2022
Relative radiometric normalization (RRN) is important for pre-processing and analyzing multitemporal remote sensing (RS) images. Multitemporal RS images usually include different land use/land cover (LULC) types; therefore, considering an identical linear relationship during RRN modeling may result in potential errors in the RRN results. To resolve this issue, we proposed a new automatic RRN technique that efficiently selects the clustered pseudo-invariant features (PIFs) through a coarse-to-fine strategy and uses them in a fusion-based RRN modeling approach. In the coarse stage, an efficient difference index was first generated from the down-sampled reference and target images by combining…
Spectral adaptation of hyperspectral flight lines using VHR contextual information
2014
Abstract: Due to technological constraints, hyperspectral earth observation imagery are often a mosaic of overlapping flight lines collected in different passes over the area of interest. This causes variations in aqcuisition conditions such that the reflected spectrum can vary significantly between these flight lines. Partly, this problem is solved by atmospherical correction, but residual spectral differences often remain. A probabilistic domain adaptation framework based on graph matching using Hidden Markov Random Fields was recently proposed for transforming hyperspectral data from one image to better correspond to the other. This paper investigates the use of scale and angle invariant…
Identifying the role of business accelerators in the developing business ecosystem: the life science sector
2020
PurposeBusiness accelerators have recently received increasing attention as important cogs in business ecosystem development. However, their exact role in the ecosystem is not yet well known, especially outside the IT sector. The purpose of this study is, therefore, twofold: to determine the position of life science accelerators in the business ecosystem and the attributes of support for companies and to identify key features of the life science accelerators that contribute to the change in business ecosystems.Design/methodology/approachThe authors offer an exploratory case study of five life science business accelerators and analyze the main factors affecting the companies and the whole bu…
The Definition of Syllable in Aristotle’s Poetics
2015
This paper deals with the theory of syllable in Aristotl's Poetics. As known, the main difficult of this text are the strange examples of syllables 'syllable is gr without a as well as with a, as in gra'. My proposal is to read this definition in strict connetion with the definition of stoichion in the same text, ad in context of the whole Corpus aristotelicum. In the definiton of stoicheion, wich introduce the faumous classification of linguistic sounds in 'vowels' (phoneenta) 'non-vowels' (aphona) and 'semivowels' (hemiphona) is difficult to understnad what 'hemiphona' are, and why Aristotle call them with this name, if we admit that hemiphona are countinous sounds as 's' or 'r'. that are…
Modelling and prediction of perceptual segmentation
2017
While listening to music, we somehow make sense of a multiplicity of auditory events; for example, in popular music we are often able to recognize whether the current section is a verse or a chorus, and to identify the boundaries between these segments. This organization occurs at multiple levels, since we can discern motifs, phrases, sections and other groupings. In this work, we understand segment boundaries as instants of significant change. Several studies on music perception and cognition have strived to understand what types of changes are associated with perceptual structure. However, effects of musical training, possible differences between real-time and non real-time segmentation, and…
Real-time implementation of counting people in a crowd on the embedded reconfigurable architecture on the unmanned aerial vehicle
2020
The crowd counting task is an important research problem. Now more and more people are concerned about safety issues. Considering the scenario of a crowded scene: a population density system analyzes the crowds and triggers a warning to divert the crowds when their population density exceeds a normal range. With such a system, the incident of the Shanghai New Year's stampede will not happen again. The most difficult problem of population counting at present: On the one hand, in the densely populated area, how to make the model distinguish human head features more finely, such as head overlap. The second aspect is to find a small-scale local head feature in an image with a wide range of popu…
Multi-Scale Feature Extraction for Vehicle Detection Using Phis-Lbp
2018
International audience; Multi-resolutionobjectdetectionfacesseveraldrawbacksincludingitshighdimensionalityproducedby a richer image representation in different channels or scales. In this paper, we propose a robust and lightweight multi-resolution method for vehicle detection using local binary patterns (LBP) as channel feature. Algorithm acceleration is done using LBP histograms instead of multi-scale feature maps and by extrapolating nearby scales to avoid computing each scale. We produce a feature descriptor capable of reaching a similar precision to other computationally more complex algorithms but reducing its size from 10 to 800 times. Finally, experiments show that our method can obt…
Testing Three Theories of Cognitive Dysfunction in Problem Alcohol Use
2014
- Objectives : many hypotheses concerning the cognitive functions affected by chronic alcoholism have been advanced. The aim of this study was to test cognitive performance in a sample of alcoholics and to examine results comparing three different models: the frontal lobe hypothesis, the lateralization hypothesis and the diffuse brain hypothesis. - Methods : 51 patients who refer to alcoholism service have been included in this study. Cognitive functions were assessed by trained psychologist with a specific neuropsychological battery. -Results : our results show a ranking of impairment degrees in different cognitive functions and different influence of clinical features. In our sample the f…
Computer vision and thermal monitoring of HMPE fibre rope condition during CBOS testing
2020
Abstract Fibre rope usage in deep sea lifting operations is gaining more prominence in recent times. With rope minimum break loads (MBL) comparable to that of their steel wire counterparts, the use of high modulus polyethylene (HMPE) ropes is seen as a viable option for use in subsea construction cranes. The ropes are worn out during use and visual inspection remains one of the main methods of determining whether a fibre rope is to be retired from use, therefore a natural extension is condition monitoring through computer vision. Creep and temperature are constraining with HMPE ropes and should be monitored continuously, particularly when the rope is cyclically bent over sheaves. Additional…