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Glomerulonephritis sparse hair telangiectases
Known as:
Glomerulonephritis With Sparse Hair And Telangiectases
, HLTRS
, Telangiectatic membranoproliferative glomerulonephritis
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National Institutes of Health
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Related topics
Related topics
11 relations
Absent eyebrow
Alopecia
Autosomal dominant inheritance
Hypotrichosis
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Broader (2)
Glomerulonephritis, Membranoproliferative
Telangiectasis
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Performance comparison of fuzzy mutual information as dimensionality reduction techniques and SRC, SVD and approximate entropy as post classifiers for the classification of epilepsy risk levels from…
S. Prabhakar
,
H. Rajaguru
IEEE Student Symposium in Biomedical Engineering…
2015
Corpus ID: 40520968
One of the most commonly occurring disorder in the brain is epilepsy and it is characterized by the sudden onset of recurrent…
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2015
2015
News topics categorization using latent Dirichlet allocation and sparse representation classifier
Yuan-Shan Lee
,
Rocky Lo
,
Chia-Yen Chen
,
Po-Chuan Lin
,
Jia-Ching Wang
IEEE International Conference on Consumer…
2015
Corpus ID: 10952778
Recently, subscribing news from websites has become a new trend for many Internet users. In a news reading browser, it is…
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2015
2015
Hand dorsal vein recognition: Sensor, algorithms and evaluation
Ramachandra Raghavendra
,
Jayachander Surbiryala
,
C. Busch
International Symposium on Telecommunications
2015
Corpus ID: 27595816
Biometric recognition involves in identifying the individual based on behavioural and biological characteristics. Among the…
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2015
2015
A Sparse Representation Based Method to Classify Pulmonary Patterns of Diffuse Lung Diseases
Wei Zhao
,
Rui Xu
,
Yasushi Hirano
,
Rie Tachibana
,
S. Kido
Comput. Math. Methods Medicine
2015
Corpus ID: 13782628
We applied and optimized the sparse representation (SR) approaches in the computer-aided diagnosis (CAD) to classify normal…
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2015
2015
GMM better than SRC for classifying epilepsy risk levels from EEG signals
S. Prabhakar
,
H. Rajaguru
International Conference on Intelligent…
2015
Corpus ID: 17860742
EEG is the most commonly used technique for the monitoring of the brain activities in the case of epilepsy. Generally, the visual…
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2015
2015
Application of linear graph embedding as a dimensionality reduction technique and sparse representation classifier as a post classifier for the classification of epilepsy risk levels from EEG signals
S. Prabhakar
,
H. Rajaguru
International Conference on Graphic and Image…
2015
Corpus ID: 62452909
The most common and frequently occurring neurological disorder is epilepsy and the main method useful for the diagnosis of…
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2013
2013
A Comparative Study on Score Level Fusion Techniques and MACE Gabor Filters for Face Recognition in the Presence of Noises and Blurring Effects
S. Fernandes
,
G. J. Bala
,
P. Nagabhushan
,
Subhrangshu Mandal
International Conference on Cloud & Ubiquitous…
2013
Corpus ID: 14748906
Face recognition has been an intensely researched field of computer vision for the past couple of decades. Though significant…
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2012
2012
A robust gesture recognition algorithm based on Sparse Representation, random projections and Compressed Sensing
Ali Boyali
,
M. Kavakli
7th IEEE Conference on Industrial Electronics and…
2012
Corpus ID: 18684775
Compressed Sensing (CS) and Sparse Representation (SR) influenced the ways of signals are processed half a decade. The elegant…
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2010
2010
Photonic Implementation of Quantum Relay and Encoders/Decoders for Sparse-Graph Quantum Codes Based on Optical Hybrid
I. Djordjevic
IEEE Photonics Technology Letters
2010
Corpus ID: 1231600
We show that any family of deterministic universal quantum gates can be implemented in integrated optics. We further show how to…
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2009
2009
Comparisons of Several New De-Noising Methods for Medical Images
Lu Zhang
,
Jiaming Chen
,
Yuemin M. Zhu
,
Jianhua Luo
International Conferences on Biomedical and…
2009
Corpus ID: 9055216
Noise is inevitably introduced to medical images because of various factors in medical imaging. The noise in medical images…
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