Results 51 to 60 of about 3,038,089 (290)
Sparse neural codes and convexity [PDF]
Involve, a Journal of Mathematics, 2019 13 pages, 10 ...
Jeffs, R. Amzi +4 more
openaire +3 more sources
Kernel locality‐constrained sparse coding for head pose estimation
IET Computer Vision, 2016 In many situations, it would be practical for a computer system user interface to have a model of where a person is looking and what the user is paying attention to.
Hyunduk Kim +3 more
doaj +1 more source
Learning a Deep Representative Saliency Map With Sparse Tensors
IEEE Access, 2019 The past few years have witnessed the prosperity of establishing deep architectures for modeling complex structured data. In this paper, motivated by the hierarchical, multi-scale and sparse characteristics of Human Visual System (HVS), we advance a new ...
Shuyuan Yang, Quanwei Gao, Shigang Wang
doaj +1 more source
Relating sparse and predictive coding to divisive normalization.
PLoS Computational BiologySparse coding, predictive coding and divisive normalization have each been found to be principles that underlie the function of neural circuits in many parts of the brain, supported by substantial experimental evidence.
Yanbo Lian, Anthony N Burkitt
doaj +1 more source
Convolutional sparse coding network for sparse seismic time-frequency representation
Artificial Intelligence in GeosciencesSeismic time-frequency (TF) transforms are essential tools in reservoir interpretation and signal processing, particularly for characterizing frequency variations in non-stationary seismic data.
Qiansheng Wei +5 more
doaj +1 more source
Learned Convolutional Sparse Coding [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2017 We propose a convolutional recurrent sparse auto-encoder model. The model consists of a sparse encoder, which is a convolutional extension of the learned ISTA (LISTA) method, and a linear convolutional decoder.
Hillel Sreter, R. Giryes
semanticscholar +1 more source
Glymphatic Dysfunction Reflects Post‐Concussion Symptoms: Changes Within 1 Month and After 3 Months
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mild traumatic brain injury (mTBI) may alter glymphatic function; however, its progression and variability remain obscure. This study examined glymphatic function following mTBI within 1 month and after 3 months post‐injury to determine whether variations in glymphatic function are associated with post‐traumatic symptom severity ...
Eunkyung Kim +3 more
wiley +1 more source
On the Sample Complexity of Predictive Sparse Coding [PDF]
, 2012 The goal of predictive sparse coding is to learn a representation of examples as sparse linear combinations of elements from a dictionary, such that a learned hypothesis linear in the new representation performs well on a predictive task.
Gray, Alexander G., Mehta, Nishant A.
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Sparse Coding on Stereo Video for Object Detection [PDF]
, 2017 Deep Convolutional Neural Networks (DCNN) require millions of labeled training examples for image classification and object detection tasks, which restrict these models to domains where such datasets are available.
Kenyon, Garrett T. +2 more
core +2 more sources