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CONVOLUTIONAL RECOGNITION OF DYNAMIC TEXTURES WITH PRELIMINARY CATEGORIZATION
Dynamic textures Convolutional neural networks Recognition Categorization
2017/6/19
Dynamic Texture (DT) can be considered as an extension of the static texture additionally comprising the motion features. The DT is very wide but the weak studied type of textures that is employed in ...
A NOVEL INDEX FOR ATMOSPHERIC AEROSOL TYPES CATEGORIZATION WITH SPECTRAL OPTICAL DEPTHS FROM SATELLITE RETRIEVAL
AOD SSA Aerosol Type NGAI MODIS AERONET
2016/11/30
In general, the type of atmospheric aerosols can be efficiently identified with the characteristics of optical properties, such as Ångström exponent (AE) and single scattering albedo (SSA). ...
TRACKING ENVIRONMENTAL IMPACTS AND HABITAT FRAGMENTATION ON COASTAL PROTECTED AREAS THROUGH OBJECT ORIENTED ANALYSIS.IDENTIFICATION AND CATEGORIZATION OF LINEAR DISTURBANCES IN CORRUBEDO NATURAL PARK (NW IBERIAN PENINSULA)
Monitoring vegetation classification fuzzy logic object context orthoimage
2015/8/19
The increase of tourism in coastal protected areas is potentially one of the drivers of ecosystem fragmentation with the consequent important damages to their biodiversity values. One of the key manag...
Fast&Confident Probabilistic Categorization
Text categorization probabilistic model confidence estimation multi-label categorization category description
2015/7/29
We describe NRC's submission to the Anomaly Detection/Text Mining competition organised at the Text Mining Workshop 2007. This submission relies on a straightforward implementation of the probabilisti...
Efficient lp-Norm Multiple Feature Metric Learning for Image Categorization
Algorithms Performance Experimentation
2013/7/24
Previous metric learning approaches are only able to learn the metric based on single concatenated multivariate feature representation. However, for many real world problems with multiple feature repr...
A QUICK SURVEY OF TEXT CATEGORIZATION ALGORITHMS
information retrieval algorithms machine learning text classification
2010/1/11
this paper contains an overview of basic formulations and approaches to text classification. This paper surveys the algorithms used in text categorization: handcrafted rules, decision trees, decision ...
Group-Sensitive Multiple Kernel Learning for Object Categorization
Group-Sensitive Object Categorization
2010/12/20
In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categorization. By introducing ...
Group-Sensitive Multiple Kernel Learning for Object Categorization
Group-Sensitive Multiple Kernel Learning Object Categorization
2013/7/16
In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categorization. By introducing...