Results 111 to 120 of about 1,336,530 (337)
Few-Shot Object Recognition from Machine-Labeled Web Images [PDF]
arXiv, 2016 With the tremendous advances of Convolutional Neural Networks (ConvNets) on object recognition, we can now obtain reliable enough machine-labeled annotations easily by predictions from off-the-shelf ConvNets. In this work, we present an abstraction memory based framework for few-shot learning, building upon machine-labeled image annotations. Our method
arxiv
Externalism, Memory, and Self-Knowledge [PDF]
Externalism holds that the individuation of mental content depends on factors external to the subject. This doctrine appears to undermine both the claim that there is a priori self-knowledge, and the view that individuals have privileged access to their thoughts.
openaire +3 more sources
, 2021 Modern external memory is represented by several device classes. At present, HDD, SATA SSD and NVMe SSD are widely used. Recently ultra-low latency SSD such as Intel Optane became available on the market. Each of these types exhibits it's own pattern for throughput, latency and parallelism.
openaire +2 more sources
Advanced Engineering Materials, EarlyView.Controlling the size and distribution of dispersoids is essential for optimizing the performance of oxide‐dispersion‐strengthened steels. This study focuses on nanoparticle dispersion and agglomeration during laser additive manufacturing of Fe20Cr alloy reinforced with ZrO 2 nanoparticles. Utilizing multiphysics phase‐field simulations and nanoparticle
Somnath Bharech +6 more
wiley +1 more source
Holistic representations of internal and external face features are used to support recognition.
Frontiers in Psychology, 2012 Face recognition is impaired when changes are made to external face features (e.g. hairstyle), even when all internal features (i.e. eyes, nose, mouth) remain the same.
Jessica Pui Kar eChan +3 more
doaj +1 more source
Randomized Computations on Large Data Sets: Tight Lower Bounds [PDF]
arXiv, 2007 We study the randomized version of a computation model (introduced by Grohe, Koch, and Schweikardt (ICALP'05); Grohe and Schweikardt (PODS'05)) that restricts random access to external memory and internal memory space. Essentially, this model can be viewed as a powerful version of a data stream model that puts no cost on sequential scans of external ...
arxiv
Shape Memory Polymer‐Based Hook‐and‐Loop Fastener for Robust Bonding and on‐Demand Easy Separation
Advanced Engineering Materials, EarlyView.A 3D shape memory polymer‐based hook‐and‐loop fastener, fabricated using projection microstereolithography and molding, offers tunable bonding strength through temperature control. When heated from 25 to 70 °C, the fastener softens and deforms easily, reducing bonding strength by 20‐fold for on‐demand easy separation.
Chen Yang +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.A simulative evaluation of triply periodic minimal surface (TPMS) structures for an elastocaloric application under compressive load is performed. For the evaluation of the structure's performance, surface/volume ratio, generated heat and invested mechanical work are taken into account and are compared to a tube as a reference specimen.
Michael Fries +3 more
wiley +1 more source
A hardware Markov chain algorithm realized in a single device for machine learning
Nature Communications, 2018 Despite the need to develop resistive random access memory (RRAM) devices for machine learning, RRAM array-based hardware methods for algorithm require external electronics.
He Tian +6 more
doaj +1 more source