Results 261 to 270 of about 93,638 (313)

CNN-based classifier for automated identification of magnetic states in spin dynamics simulations. [PDF]

Sci Rep
Aldarawsheh A, Alia A, Blügel S.
europepmc   +1 more source

Using sentiment analysis to quantify the relative desirability and acceptability of drug-product attributes. [PDF]

JAMIA Open
Calin C, Deligianni M, South BR, Jadhav A, Rocco M, Furqueron Z, Hauber B, Watt SJ.   +7 more
europepmc   +1 more source

MM-WAE: Multimodal Wasserstein Autoencoders for Semi-Supervised Wafer Map Defect Recognition. [PDF]

Micromachines (Basel)
Zhang Y, Sun Q, Liu Z, Zhang DW.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Texture classification using texture spectrum

Pattern Recognition, 1990
Abstract Pursuing our previous study where the Texture Spectrum method has been proposed for texture analysis, the purpose of this paper is to demonstrate the usefulness of the Texture Spectrum for texture classification. Promising results are obtained when applying the Texture Spectrum to classify four of Brodatz's natural images.
Dong-Chen He
exaly   +2 more sources

Measuring texture classification algorithms

Pattern Recognition Letters, 1997
Summary: The texture analysis literature lacks a widely accepted method for comparing algorithms. This paper proposes a framework for comparing texture classification algorithms. The framework consists of several suites of texture classification problems, a standard functionality for algorithms, and a method for computing a score for each algorithm. We
Smith G., Burns I.
exaly   +4 more sources

On texture classification

International Journal of Systems Science, 1997
Texture analysis has found wide application in, say, remote sensing, medical diagnosis, and quality control.
Chen, Y.Q., Nixon, M.S., Thomas, D.W.
openaire   +1 more source

Compact color–texture description for texture classification

Pattern Recognition Letters, 2015
We show that combining multiple texture description methods significantly improves the performance compared to using the single best texture method alone.We further propose to use information theoretic compression approach to compress high-dimensional multi-texture features into a compact heterogeneous texture representation.We perform a comprehensive ...
Khan, Fahad Shahbaz, Anwer, Rao Muhammad, van de Weijer, Joost, Felsberg, Michael, Laaksonen, Jorma   +5 more
openaire   +2 more sources

Wavelet based texture classification

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
Texture are one of the basic features in visual searching and computational vision. In the literature most of the attention has been focussed on the texture features with minimal consideration of the noise models. In this paper, we investigate the problem of texture classification from a maximum likelihood perspective.
Sebe, Niculae, M. S. Lew
openaire   +2 more sources

Affine-invariant texture classification

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
In content-based image retrieval, a texture pattern may appear in a wide range of 3D views. Affine transformation is an approximation frequently used in practice to represent the variation of a pattern. The existing approaches to texture classification cannot cope with this variation.
Dmitry Chetverikov, Zoltán Földvári
openaire   +1 more source