[PDF] Top 20 The anatomy of visual pattern acquisition in deep learning
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The anatomy of visual pattern acquisition in deep learning
... for the degree of Master of Engineering in Electrical Engineering and Computer Science Abstract Conventional wisdom says that convolutional neural networks use their filter hierarchy to learn ... Voir le document complet
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Lightweight material acquisition using deep learning
... Our deep learning method for SVBRDF capture supports a variable number of input photographs taken with uncontrolled and uncalibrated light-view directions (a, ...estimate of the SVBRDF ... Voir le document complet
136
Deep learning of orthographic representations in baboons
... findings in the light of other recent computational studies of orthographic ...for the emergence of letter combinations, and have instead reported solid evidence for letter-based ... Voir le document complet
10
Functional ultrasound imaging of deep visual cortex in awake nonhuman primates
... Selectivity of the Visual Cortex in Ocular Dominance ...assess the spatial functional res- olution of fUS imaging, we examined whether ocular dominance (OD) columns can be ... Voir le document complet
12
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation
... demonstrates the acceleration of the training and the enhancement of the accuracy brought by this novel connection ...shown in Fig. 9, 580 more Low-level features are ... Voir le document complet
41
Deep learning for semantic description of visual human traits
... ages. In this PhD, we have been working exclusively with static RGB images of ...At the same time, some works reported that facial visual traits can be better perceived in ...video ... Voir le document complet
223
Biomedical Imaging and Analysis In the Age of Big Data and Deep Learning
... MAGING of the human body using a number of different modalities has revolutionized medicine over the past several decades and continues to grow at a rapid pace ...range of ... Voir le document complet
7
The Anatomy of Knock
... consequence of the three modes are described in the ...developed. The small R is associated with steep gradients (temperature and/or composition) in the non-uniform end ... Voir le document complet
8
Concept Generalization in Visual Representation Learning
... all the other images being treated as negatives. The main difference lies on the momentum encoder used by MoCo to sample a negative, while for SimCLR negatives come from the images of ... Voir le document complet
24
Efficacy of errorless learning in the acquisition of a new procedural skill in Alzheimer's disease
... are the most appropriate techniques for such learning. In AD, implicit rehabilitation techniques would be more effective to train new skills than explicit or declarative learning methods (van ... Voir le document complet
1
Dictionary Learning for Pattern Classification in Medical Imaging
... principle of sparsity or parsimony is to represent some phe- nomenon using as few variables as ...possible. The notion of parsimony is in- spired from Ockham's razor, a principle stated by ... Voir le document complet
139
Learning Activation Functions in Deep Neural Networks
... (CNNs). In this chapter, we first begin by considering the functional conncepts of the MLP mo- del, including the architechture, parameters of the basic model, activation ... Voir le document complet
171
Dictionary-based Learning in MR Fingerprinting: Statistical Learning versus Deep Learning
... learn the dictionary, either using neural networks , or regression approaches ...dictionary-based deep learning (DB-DL) , and a dictionary-based statistical learning (DB-SL) ...analysed ... Voir le document complet
5
Advances in scaling deep learning algorithms
... 2 Deep Learning Deep learning is a novel approach to machine learning that relies on learn- ing multiple levels of ...were the first papers to show significant gains ... Voir le document complet
133
Carbon and Nitrogen Acquisition in Shallow and Deep Holobionts of the Scleractinian Coral S. pistillata
... Budget The depths at which ...establishing the carbon budget of shallow and deep holobionts of ...for the acquisition of autotrophic carbon at low irradiance ... Voir le document complet
13
The Self-Adaptive Context Learning Pattern: Overview and Proposal
... solved the context mapping sub-problem in different applications, we have highlighted a recurrent ...This pattern is an abstraction of the core of several adaptive systems ... Voir le document complet
15
Entity-centric representations in deep learning
... Strategy In many environments a uniformly random policy is insufficient to produce action and observation sequences representative enough to be useful for downstream ...tasks. In this paper we suggest to ... Voir le document complet
73
Anatomy of a message in the Alewife multiprocessor
... Interrupts The need for high-availability interrupts [18] arises becauseshared- memory introduces a dependence between instruction execution and and the interconnection ...asynchronous in- terrupts, ... Voir le document complet
13
Deep learning in heterogeneous materials: Targeting the thermo-mechanical response of unidirectional composites
... are the RUC-based approaches that explicitly impose periodic boundary conditions, such as finite-element (FE)-based variational techniques 12 , 13 or the elasticity-based locally exact homogenization theory ... Voir le document complet
10
Deep learning on attributed graphs
... that the linearization order matters when learning on sets suggest that it is a priori unclear that enforcing a specific canonical ordering would lead to the best ...common in DL. In ... Voir le document complet
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