Results 71 to 80 of about 573,498 (278)

Dictionary Learning Over Distributed Models [PDF]

IEEE Transactions on Signal Processing, 2015
In this paper, we consider learning dictionary models over a network of agents, where each agent is only in charge of a portion of the dictionary elements. This formulation is relevant in Big Data scenarios where large dictionary models may be spread over different spatial locations and it is not feasible to aggregate all dictionaries in one location ...
Chen, Jianshu, Towfic, Zaid J., Sayed, Ali H.   +2 more
openaire   +2 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Supervised Dictionary Learning

, 2008
It is now well established that sparse signal models are well suited to restoration tasks and can effectively be learned from audio, image, and video data. Recent research has been aimed at learning discriminative sparse models instead of purely reconstructive ones.
Mairal, Julien, Bach, Francis, Ponce, Jean, Sapiro, Guillermo, Zisserman, Andrew   +4 more
openaire   +4 more sources

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

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

Dictionary Learning of Symmetric Positive Definite Data Based on Riemannian Manifold Tangent Spaces and Local Homeomorphism

IEEE Access, 2022
Symmetric Positive Definite (SPD) data are increasingly prevalent in dictionary learning recently. SPD data are the typical non-Euclidean data and cannot constitute a Euclidean space.
Hui He, Shuyu Liu, Zhengming Ma, Weijia Feng   +3 more
doaj   +1 more source

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Advanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen, Jingrui Zhong, Xiaochun Zhang, Jingke Chen, Lin Guo, Xiaoliang Xiong, Xiaonan Zhang, Xiangyu Liu, Bailong Xiao, Boxue Tian   +9 more
wiley   +1 more source

Multivariate temporal dictionary learning for EEG [PDF]

Journal of Neuroscience Methods, 2013
This article addresses the issue of representing electroencephalographic (EEG) signals in an efficient way. While classical approaches use a fixed Gabor dictionary to analyze EEG signals, this article proposes a data-driven method to obtain an adapted dictionary.
Barthélemy, Quentin, Gouy-Pailler, Cédric, Isaac, Yoann, Souloumiac, Antoine, Larue, Anthony, Mars, Jérôme I.   +5 more
openaire   +5 more sources

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source