AIMC Topic: Pattern Recognition, Automated
Clear Filters Showing 741 to 750 of 1671 articles
Prospective motion correction improves the sensitivity of fMRI pattern decoding.
Human brain mapping
Jun 8, 2018
We evaluated the effectiveness of prospective motion correction (PMC) on a simple visual task when no deliberate subject motion was present. The PMC system utilizes an in-bore optical camera to track an external marker attached to the participant via...
How I learned to stop worrying and love machine learning.
Clinics in dermatology
Jun 8, 2018
Artificial intelligence and its machine learning (ML) capabilities are very promising technologies for dermatology and other visually oriented fields due to their power in pattern recognition. Understandably, many physicians distrust replacing clinic...
A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition.
IEEE transactions on neural networks and learning systems
Jun 5, 2018
This paper deals with sparse signal reconstruction by designing a discrete-time projection neural network. Sparse signal reconstruction can be converted into an L -minimization problem, which can also be changed into the unconstrained basis pursuit d...
Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks.
Neural networks : the official journal of the International Neural Network Society
Jun 2, 2018
Environmental sustainability research is dependent on accurate land cover information. Even with the increased number of satellite systems and sensors acquiring data with improved spectral, spatial, radiometric and temporal characteristics and the ne...
Representation learning using event-based STDP.
Neural networks : the official journal of the International Neural Network Society
Jun 1, 2018
Although representation learning methods developed within the framework of traditional neural networks are relatively mature, developing a spiking representation model remains a challenging problem. This paper proposes an event-based method to train ...
A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy.
Medical image analysis
Jun 1, 2018
Targeted prostate biopsy, incorporating multi-parametric magnetic resonance imaging (mp-MRI) and its registration with ultrasound, is currently the state-of-the-art in prostate cancer diagnosis. The registration process in most targeted biopsy system...
Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images.
IEEE/ACM transactions on computational biology and bioinformatics
May 29, 2018
Likely drug candidates which are identified in traditional pre-clinical drug screens often fail in patient trials, increasing the societal burden of drug discovery. A major contributing factor to this phenomenon is the failure of traditional in vitro...
An Improved Multispectral Palmprint Recognition System Using Autoencoder with Regularized Extreme Learning Machine.
Computational intelligence and neuroscience
May 27, 2018
Multispectral palmprint recognition system (MPRS) is an essential technology for effective human identification and verification tasks. To improve the accuracy and performance of MPRS, a novel approach based on autoencoder (AE) and regularized extrem...
Machine learning improved classification of psychoses using clinical and biological stratification: Update from the bipolar-schizophrenia network for intermediate phenotypes (B-SNIP).
Schizophrenia research
May 26, 2018
Computer-assisted liver graft steatosis assessment via learning-based texture analysis.
International journal of computer assisted radiology and surgery
May 23, 2018
PURPOSE: Fast and accurate graft hepatic steatosis (HS) assessment is of primary importance for lowering liver dysfunction risks after transplantation. Histopathological analysis of biopsied liver is the gold standard for assessing HS, despite being ...
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