Results 61 to 70 of about 6,486,492 (310)

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Sparse representation for massive MIMO satellite channel based on joint dictionary learning

Electronics Letters
A constrained joint dictionary learning (CJDL) algorithm for high‐precision channel representation in massive multiple input multiple output (MIMO) satellite systems is proposed.
Qing yang Guan, Shuang Wu
doaj   +1 more source

Parametric dictionary design for sparse coding [PDF]

, 2009
—This paper introduces a new dictionary design method for sparse coding of a class of signals. It has been shown that one can sparsely approximate some natural signals using an overcomplete set of parametric functions, e.g. [1], [2].
Yaghoobi, M., Davies, M.E.; id_orcid, Daudet, L., Mehrdad Yaghoobi, Mike E. Davies, Laurent Daudet   +5 more
core  

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Effective Input Projection for Updating Dictionary Atoms in Sparse Coding-Based Image Denoising

IEEE Access
Adaptive dictionary learning algorithms offer enhanced performance through the joint optimization of dictionary atoms and sparse representations.
Ammar Hoori, Alex J. Aved, Simegnew Yihunie Alaba, Yuichi Motai   +3 more
doaj   +1 more source

Double Graph Regularized Double Dictionary Learning for Image Classification

, 2020
In this paper, we present a novel double graph regularized double dictionary learning (DGRDDL) method for image classification. The proposed method jointly constructs a number of class-specific sub-dictionaries to capture the most discriminative features
Gao, Y, Xiong, S, Rong, Y
core   +1 more source

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

An Analysis Dictionary Learning Algorithm under a Noisy Data Model with Orthogonality Constraint

The Scientific World Journal, 2014
Two common problems are often encountered in analysis dictionary learning (ADL) algorithms. The first one is that the original clean signals for learning the dictionary are assumed to be known, which otherwise need to be estimated from noisy measurements.
Ye Zhang, Tenglong Yu, Wenwu Wang
doaj   +1 more source

Solving Inverse Problems in Imaging via Deep Dictionary Learning

IEEE Access, 2019
In dictionary learning-based inversion, the dictionary and coefficients are learnt adaptively from the image during the inversion process; this is a shallow approach since one layer of the dictionary is learnt.
John Lewis D., Vanika Singhal, Angshul Majumdar   +2 more
doaj   +1 more source