Papers Single Particle Analysis
“Single Particle Analysis” 태그가 달린 논문 106편 · 필터 해제
Improved Algorithm and Bounds for Successive Projection
Given a $K$-vertex simplex in a $d$-dimensional space, suppose we measure $n$ points on the simplex with noise (hence, some of the observed points fall outside the simplex). Vertex hunting is the problem of estimating th…
Single Particle AnalysisSPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Casual Inference
Large language models(LLMs) have shown its outperforming ability on various tasks and question answering. However, LLMs require substantial memory storage on low-resource devices. More critically, the computational speed…
Question AnsweringSingle Particle AnalysisPose-based Tremor Type and Level Analysis for Parkinson's Disease from Video
Purpose:Current methods for diagnosis of PD rely on clinical examination. The accuracy of diagnosis ranges between 73% and 84%, and is influenced by the experience of the clinical assessor. Hence, an automatic, effective…
DiagnosticSingle Particle AnalysisA Structural-Clustering Based Active Learning for Graph Neural Networks
In active learning for graph-structured data, Graph Neural Networks (GNNs) have shown effectiveness. However, a common challenge in these applications is the underutilization of crucial structural information. To address…
Active LearningClusteringCommunity DetectionSingle Particle AnalysisCommunity recommendations on cryoEM data archiving and validation
In January 2020, a workshop was held at EMBL-EBI (Hinxton, UK) to discuss data requirements for deposition and validation of cryoEM structures, with a focus on single-particle analysis. The meeting was attended by 45 exp…
Single Particle AnalysisSPA: A Graph Spectral Alignment Perspective for Domain Adaptation
Unsupervised domain adaptation (UDA) is a pivotal form in machine learning to extend the in-domain model to the distinctive target domains where the data distributions differ. Most prior works focus on capturing the inte…
Domain AdaptationSingle Particle AnalysisUnsupervised Domain AdaptationAddressing preferred orientation in single-particle cryo-EM through AI-generated auxiliary particles
The single-particle cryo-EM field faces the persistent challenge of preferred orientation, lacking general computational solutions. We introduce cryoPROS, an AI-based approach designed to address the above issue. By gene…
Single Particle AnalysisLearning from History: Task-agnostic Model Contrastive Learning for Image Restoration
Contrastive learning has emerged as a prevailing paradigm for high-level vision tasks, which, by introducing properly negative samples, has also been exploited for low-level vision tasks to achieve a compact optimization…
Contrastive LearningImage DehazingImage RestorationImage Super-Resolution+3Overview of GUA-SPA at IberLEF 2023: Guarani-Spanish Code Switching Analysis
We present the first shared task for detecting and analyzing code-switching in Guarani and Spanish, GUA-SPA at IberLEF 2023. The challenge consisted of three tasks: identifying the language of a token, NER, and a novel t…
ArticlesNERSingle Particle AnalysisCryo-Electron Ptychography: Applications and Potential in Biological Characterisation
There is a clear need for developments in characterisation techniques that provide detailed information about structure-function relationships in biology. Using electron microscopy to achieve high resolution while mainta…
3D ReconstructionSingle Particle AnalysisReconstruction of Unstable Heavy Particles Using Deep Symmetry-Preserving Attention Networks
Reconstructing unstable heavy particles requires sophisticated techniques to sift through the large number of possible permutations for assignment of detector objects to the underlying partons. Anapproach based on a gene…
Single Particle AnalysisMetaWeather: Few-Shot Weather-Degraded Image Restoration
Real-world weather conditions are intricate and often occur concurrently. However, most existing restoration approaches are limited in their applicability to specific weather conditions in training data and struggle to g…
Image RestorationMeta-LearningSingle Particle AnalysisSSIMVI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations
Rotation estimation of high precision from an RGB-D object observation is a huge challenge in 6D object pose estimation, due to the difficulty of learning in the non-linear space of SO(3). In this paper, we propose a nov…
6D Pose Estimation using RGBBenchmarkingBinary ClassificationObject+2A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning
Knowledge Graph Embedding (KGE) has proven to be an effective approach to solving the Knowledge Graph Completion (KGC) task. Relational patterns which refer to relations with specific semantics exhibiting graph patterns …
Graph EmbeddingKnowledge Graph CompletionKnowledge Graph EmbeddingSingle Particle Analysis3D Localization and Tracking Methods for Multi-Platform Radar Networks
Multi-platform radar networks (MPRNs) are an emerging sensing technology due to their ability to provide improved surveillance capabilities over plain monostatic and bistatic systems. The design of advanced detection, lo…
Single Particle AnalysisRobust Multi-Agent Reinforcement Learning with State Uncertainty
In real-world multi-agent reinforcement learning (MARL) applications, agents may not have perfect state information (e.g., due to inaccurate measurement or malicious attacks), which challenges the robustness of agents' p…
Multi-agent Reinforcement LearningQ-Learningreinforcement-learningReinforcement Learning+1Bayesian Linear Regression with Cauchy Prior and Its Application in Sparse MIMO Radar
In this paper, a sparse signal recovery algorithm using Bayesian linear regression with Cauchy prior (BLRC) is proposed. Utilizing an approximate expectation maximization(AEM) scheme, a systematic hyper-parameter updatin…
regressionSingle Particle AnalysisSampling-Priors-Augmented Deep Unfolding Network for Robust Video Compressive Sensing
Video Compressed Sensing (VCS) aims to reconstruct multiple frames from one single captured measurement, thus achieving high-speed scene recording with a low-frame-rate sensor. Although there have been impressive advance…
compressed sensingCompressive SensingSingle Particle AnalysisVideo Compressive SensingSoundscape attributes in Spanish: A comparison with the English version of the protocol proposed in Method A of the ISO/TS 12913–2
In soundscape studies there is a need to validate the ISO 12913 framework and questionnaire protocols in non-English speaking regions, which is being addressed via an international translation effort carried out within t…
Single Particle AnalysisTranslationA Novel Dual-pooling Attention Module for UAV Vehicle Re-identification
Vehicle re-identification (Re-ID) involves identifying the same vehicle captured by other cameras, given a vehicle image. It plays a crucial role in the development of safe cities and smart cities. With the rapid growth …
Single Particle AnalysisTripletVehicle Re-Identification