Results 51 to 60 of about 687,695 (187)

One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing

, 2018
This paper presents an efficient binarized algorithm for both learning and classification of human epileptic seizures from intracranial electroencephalography (iEEG).
Benini, Luca, Burrello, Alessio, Rahimi, Abbas, Schindler, Kaspar   +3 more
core   +1 more source

Imaging time series for the classification of EMI discharge sources [PDF]

, 2018
In this work, we aim to classify a wider range of Electromagnetic Interference (EMI) discharge sources collected from new power plant sites across multiple assets. This engenders a more complex and challenging classification task.
Boreham, Philip, Hughes-Narborough, Michael, Mitiche, Imene, Morison, Gordon, Nesbitt, Alan, Stewart, Brian G.   +5 more
core   +2 more sources

Effective Compression of Center Symmetric Local Binary Pattern [PDF]

Mehran University Research Journal of Engineering and Technology, 2017
In this paper, we propose simple and effective compression of CSLBP (Center Symmetric Local Binary Pattern) descriptors, which is a textured based operator and mostly used as key point descriptor.
JUNAID BABER, MAHEEN BAKHTYAR, IHSAN ULLAH, MARIAM REHMAN, MUHAMMAD KHALID   +4 more
doaj  

Critical adsorption at chemically structured substrates

, 2005
We consider binary liquid mixtures near their critical consolute points and exposed to geometrically flat but chemically structured substrates. The chemical contrast between the various substrate structures amounts to opposite local preferences for the ...
Frank Schlesener, H. E. Stanley, H. W. Diehl, J. C. Le Guillou, J. Zinn-Justin, K. Binder, M. E. Fisher, Monika Sprenger, S. Dietrich, Y. Xia   +9 more
core   +1 more source

On the sub-permutations of pattern avoiding permutations

, 2014
There is a deep connection between permutations and trees. Certain sub-structures of permutations, called sub-permutations, bijectively map to sub-trees of binary increasing trees.
Disanto, Filippo, Wiehe, Thomas
core   +1 more source

Spatially enhanced local binary pattern

Electronics Letters, 2012
The local binary pattern (LBP) is one of the state-of-the-art texture descriptors for texture classification. However, the spatial distribution of the LBPs is not taken into account. Proposed is a novel texture descriptor, namely the spatially enhanced LBP, to encapsulate the spatial distribution of the LBPs with a shape context based method. Also, the
Kaimin Yu, Zhiyong Wang, Lei Yue, Dagan Feng   +3 more
openaire   +1 more source

Robust Active Contour Model Guided by Local Binary Pattern Stopping Function

Cybernetics and Information Technologies, 2017
Edge based active contour models are adequate to some extent in segmenting images with intensity inhomogeneity but often fail when applied to images with poorly defined or noisy boundaries.
Azizi Abdallah, Elkourd Kaouther, Azizi Zineb   +2 more
doaj   +1 more source

Texture Feature Extraction by Using Local Binary Pattern [PDF]

, 2015
Local Binary Pattern (LBP) is a method that used to describe texture characteristics of the surfaces. By applying LBP, texture pattern probability can be summarised into a histogram. LBP values need to be determined for all of the image pixels.
Prakasa, E. (Esa)
core  

Robust Adaptive Median Binary Pattern for noisy texture classification and retrieval

, 2018
Texture is an important cue for different computer vision tasks and applications. Local Binary Pattern (LBP) is considered one of the best yet efficient texture descriptors. However, LBP has some notable limitations, mostly the sensitivity to noise.
Alkhatib, Mohammad, Hafiane, Adel
core   +1 more source

A Completed Multi-Scale Local Statistics Pattern for Texture Classification

Image Analysis and Stereology
Binary pattern methods play a vital role in extracting texture features. However, most of existing methods struggle to capture comprehensive and discriminative texture information.
Xiaochun Xu, Bin Li, Q.M. Jonathan Wu
doaj   +1 more source