Results 91 to 100 of about 448,103 (274)
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
17 pages, 6 figures, 6 tables, ECCV 2024 ...
Min-Yeong Park +2 more
openaire +2 more sources
Incremental ELMVIS for Unsupervised Learning [PDF]
, 2017 An incremental version of the ELMVIS+ method is proposed in this paper. It iteratively selects a few best fitting data samples from a large pool, and adds them to the model. The method keeps high speed of ELMVIS+ while allowing for much larger possible sample pools due to lower memory requirements.
Akusok, Anton +7 more
openaire +2 more sources
Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection
Advanced Materials, EarlyView.Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel +7 more
wiley +1 more source
Advanced Materials, EarlyView.Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley +1 more source
, 2016 Updated version: Clarified the contribution (see abstract, intro, and conclusion); added figures to illustrate the architecture of the network and the difference between training and generation; different selection of experiments in Section 6.4; some textual ...
openaire +2 more sources
Advanced Materials, EarlyView.Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source
Balanced Contrast Class‐Incremental Learning
CAAI Transactions on Intelligence TechnologyContinual learning aims to empower a model to learn new tasks continuously while reducing forgetting to retain previously learnt knowledge. In the context of receiving streaming data that are not constrained by the independent and identically distributed
Shiqi Yu, Luojun Lin, Yuanlong Yu
doaj +1 more source
Rewriting Polymer Fate via Chemomechanical Coupling
Advanced Materials, EarlyView.This work introduces a life‐like “living” polymer platform that can grow, degrow, and reprogram its properties after fabrication. By integrating mass transport, reversible polymerization, and controlled catalysis, the material achieves on‐demand changes in size, shape, and mechanical properties.
Jiahe Huang +9 more
wiley +1 more source
On OWA, Machine Learning and Big Data: The case for IFS over universes [PDF]
Notes on IFSThis paper provides a holistic view of open-world machine learning by investigating class discovery, and class incremental learning under OWA. The challenges, principles, and limitations of current methodologies are discussed in detail.
Panagiotis Chountas +2 more
doaj +1 more source
Class-Incremental Learning: A Survey
IEEE Transactions on Pattern Analysis and Machine IntelligenceDeep models, e.g., CNNs and Vision Transformers, have achieved impressive achievements in many vision tasks in the closed world. However, novel classes emerge from time to time in our ever-changing world, requiring a learning system to acquire new knowledge continually.
Da-Wei Zhou +5 more
openaire +3 more sources