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Selection: with tag unsupervised-training [6 articles] 

 

Non-supervised method for early forest fire detection and rapid mapping

  
In Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), Vol. 10444 (6 September 2017), 104440R, https://doi.org/10.1117/12.2280714

Abstract

Natural hazards are a challenge for the society. Scientific community efforts have been severely increased assessing tasks about prevention and damage mitigation. The most important points to minimize natural hazard damages are monitoring and prevention. This work focuses particularly on forest fires. This phenomenon depends on small-scale factors and fire behavior is strongly related to the local weather. Forest fire spread forecast is a complex task because of the scale of the phenomena, the input data uncertainty and time constraints in ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 42

  
(February 2018)
Keywords: inrmm-list-of-tags   tuscany   tuta-absoluta   twig-dieback   two-dimensional-gas-chromatography   two-stage-peer-review   udig   uganda   ukraine   ulex-europaeus   ulmus-americana   ulmus-carpinifolia   ulmus-glabra   ulmus-laevis   ulmus-minor   ulmus-parvifolia   ulmus-procera   ulmus-pumila   ulmus-rubra   ulmus-spp   ulmus-thomasii   umbellularia-californica   umbrella-species   un-framework-convention-on-climate-change   uncertainty   uncertainty-propagation   underfitting   understorey   understorey-species   undisturbed-habitat   uneven-aged-forest   unexpected-effect   unfalsifiability   ungulate   ungulate-browsing   united-kingdom   united-nations   united-states   universal-approximation   unknown   unrealistic-expectations   unsupervised-training   upper-treeline   uprooting   urban-areas   urban-forest   urban-habitats   urban-trees   urgent-hpc   url-decay   urocerus-gigas   ursus-arctos   usda   ushahidi   usle   usle-m   usped   utilization   vaccination   vaccinium-arctostaphylos   vaccinium-myrtillus   vaccinium-oxycoccos   vaccinium-spp   vaccinium-uliginosum   vaccinium-vitis-idaea   vaccinum-myrtillus   validation   valsa-melanodiscus   values-at-stake   values-vs-scientific-evidence   vapour-pressure-deficit   variability   variable-selection   variance-partitioning   variation   vascular-plants   vascular-system   vauable   vegetation   vegetation-buffer   vegetation-changes   vegetation-composition   vegetation-condition   vegetation-diversity   vegetation-dynamics   vegetation-types   vegetative-propagation   vehicle-detection   veneer   venice   verification-vs-corroboration   veronica-micrantha   veronica-officinalis   vertebrate   verticillium-dahliae   vgi   viburnum-lantana   viburnum-opalus   viburnum-opulus   viburnum-orientale  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

 

Robust modelling of the impacts of climate change on the habitat suitability of forest tree species

  
Keywords: abies-alba   array-of-factors   artificial-neural-networks   bioclimatic-predictors   change-factor   climate-change   data-uncertainty   diversity   environmental-modelling   europe   extrapolation-uncertainty   featured-publication   forest-resources   free-scientific-knowledge   free-scientific-software   free-software   fuzzy   gdal   genetic-diversity   geospatial   geospatial-semantic-array-programming   gnu-bash   gnu-linux   gnu-octave   habitat-suitability   integration-techniques   mastrave-modelling-library   maximum-habitat-suitability   modelling-uncertainty   multiplicity   peseta-series   python   regional-climate-models   relative-distance-similarity   robust-modelling   semantic-array-programming   semantic-constraints   semantics   spatial-disaggregation   sres-a1b   supervised-training   unsupervised-training  

Abstract

[::] In Europe, forests play a strategic multifunctional role, serving economic, social and environmental purposes. However, their complex interaction with climate change is not yet well understood. [::] The JRC PESETA project series proposes a consistent multi-sectoral assessment of the impacts of climate change in Europe. [::] Within the PESETA II project, a robust methodology is introduced for modelling the habitat suitability of forest tree species (2071-2100 time horizon). [::] Abies alba (the silver fir) is selected as case study: a main European tree ...

References

  1. European Commission, 2013. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions - A new EU forest strategy: for forests and the forest based sector. No. COM(2013) 659 final. Communication from the Commission to the Council and the European Parliament. http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:52013DC0659 , INRMM-MiD:12642065 .
  2. European Commission, 2013. Commission staff working document accompanying the document: Communication from the commission to
 

Corrigendum to "Modelling soil erosion at European scale: towards harmonization and reproducibility" published in Nat. Hazards Earth Syst. Sci.,15, 225-245, 2015

  
Natural Hazards and Earth System Science, Vol. 15, No. 2. (16 February 2015), pp. 291-291, https://doi.org/10.5194/nhess-15-291-2015

Abstract

[Excerpt] Two editorial mistakes were found in the article. Both refer to Eq. (2), p. 231 (whose correct version was published in the discussion paper, p. 2652). [\n] The first mistake is related to the operator Ω, which was wrongly rendered with a summation operator (Σ). The editorial notation mistake is also evident by considering the semantics of the RDS (relative distance similarity) statistics. As explained in de Rigo et al. (2013) and Bosco et al. (2013), RDS is defined in [0, 1]. Therefore, a summation operator whose arguments are quantities ...

 

New untrained aggregation methods for classifier combination

  
In Neural Networks (IJCNN), 2014 International Joint Conference on (July 2014), pp. 617-622, https://doi.org/10.1109/ijcnn.2014.6889810

Abstract

The combined classification is a promising direction in pattern recognition and there are numerous methods that deal with forming classifier ensembles. The most popular approaches employ voting, where the final decision of compound classifier is a combination of individual classifiers' outputs, i.e., class labels or support functions. This paper concentrates on the problem how to design an effective combination rule, which takes into consideration the values of support functions returned by the individual classifiers. Because in many practical tasks we do ...

 

Nonlinear dimensionality reduction by locally linear embedding

  
Science, Vol. 290, No. 5500. (22 December 2000), pp. 2323-2326, https://doi.org/10.1126/science.290.5500.2323

Abstract

Many areas of science depend on exploratory data analysis and visualization. The need to analyze large amounts of multivariate data raises the fundamental problem of dimensionality reduction: how to discover compact representations of high-dimensional data. Here, we introduce locally linear embedding (LLE), an unsupervised learning algorithm that computes low-dimensional, neighborhood-preserving embeddings of high-dimensional inputs. Unlike clustering methods for local dimensionality reduction, LLE maps its inputs into a single global coordinate system of lower dimensionality, and its optimizations do not involve local ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/unsupervised-training

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.