Results 221 to 230 of about 173,284 (257)

Fast adaptation of physics-informed hybrid models for pneumatic artificial muscles. [PDF]

Front Robot AI
Wang G, Chalard R, Cifuentes J, Pham MT.
europepmc   +1 more source

Evaluation of the efficacy of plan adaptation in stereotactic body proton therapy for pancreatic cancer. [PDF]

J Appl Clin Med Phys
Matsuo Y, Uchinami Y, Katoh N, Hashimoto T, Aoyama H, Nakazato K, Matsuura T, Miyamoto N, Takao S.   +8 more
europepmc   +1 more source

Adaptability and Stability Analyses of Root Yield and Micronutrient Concentrations in Sweetpotato (<i>Ipomoea batatas</i> [L.] Lam.) Genotypes. [PDF]

Plant Environ Interact
Chizhande N, Sibiya J, Gasura E, Mutari B, Mathew I, Chibvongodze M.   +5 more
europepmc   +1 more source

Beta bursts spatiotemporal profiles and their links to hemodynamic responses during movement and rest. [PDF]

Imaging Neurosci (Camb)
Long S, Boudrias MH, Mitsis GD.
europepmc   +1 more source

Structure-Aware Low-Rank Adaptation for Parameter-Efficient Fine-Tuning

Mathematics, 2023
With the growing scale of pre-trained language models (PLMs), full parameter fine-tuning becomes prohibitively expensive and practically infeasible.
Yifei Xie, Tianfeng Wang, Man Chen
exaly   +2 more sources

Domain Generalization and Adaptation Using Low Rank Exemplar SVMs

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
© 1979-2012 IEEE. Domain adaptation between diverse source and target domains is challenging, especially in the real-world visual recognition tasks where the images and videos consist of significant variations in viewpoints, illuminations, qualities, etc.
Wen Li, Dong Xu, Dengxin Dai
exaly   +2 more sources

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Adaptive Low Rank Matrix Completion

IEEE Transactions on Signal Processing, 2017
The low-rank matrix completion problem is fundamental to a number of tasks in data mining, machine learning, and signal processing. This paper considers the problem of adaptive matrix completion in time-varying scenarios. Given a sequence of incomplete and noise-corrupted matrices, the goal is to recover and track the underlying low rank matrices ...
Ruchi Tripathi, Boda Mohan, Ketan Rajawat   +2 more
openaire   +1 more source