Results 131 to 140 of about 1,974,250 (242)
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 The method of 1-bit (“sign-sign”) random projections has been a popular tool for efficient search and machine learning on large datasets. Given two D-dim data vectors u, v ∈ ℝD, one can generate x = ∑i=1D uiri, and y = ∑i=1D viri, where ri ∼ N(0, 1) iid. Then one can estimate the cosine similarity ρ from sgn(x) and sgn(y).
openaire +4 more sources
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background X‐linked adrenoleukodystrophy (X‐ALD) is a neurometabolic disorder caused by pathogenic variants in ABCD1, leading to slowly progressive spinal cord disease in nearly all affected men. Sensitive biomarkers to quantify disease severity and predict progression are needed for clinical care and trial design.
Eda G. Kabak +4 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Training Robust Models with Random Projection
, 2016 Regularization plays an important role in machine learning systems. We propose a novel methodology for model regularization using random projection. We demonstrate the technique on neural networks, since such models usually comprise a very large number ...
Monazam Erfani, S +5 more
core +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Improved Bounds on the Dot Product under Random Projection and Random Sign Projection
, 2020 Dot product is a key building block in a number of data mining algorithms from classification, regression, correlation clustering, to information retrieval and many others.
Ata Kabán
core
Multi-Shot Re-Identification with Random-Projection-Based Random Forests
, 2015 Human re-identification remains one of the fundamen-tal, difficult problems in video surveillance and analysis. Current metric learning algorithms mainly focus on find-ing an optimized vector space such that observations of the same person in this space ...
Yang Li, Richard J. Radke, Ziyan Wu
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi +9 more
wiley +1 more source
IEEE AccessHigh-dimensional datasets pose several challenges for classification algorithms, such as redundancy and noise. Various dimensional reduction procedures have been proposed in the literature, aiming at overcoming these challenges.
Naz Gul +3 more
doaj +1 more source