- Outliers in DESI BAO: robustness and cosmological implications
2024/12/02 by D. Sapone, Domenico Sapone, Sapone, Domenico +2 · 1 voice · 3 citations
Chemistry · Engineering · Mathematics · Physics and Astronomy · #Astronomical Observations and Instrumentation #Astronomy and Astrophysical Research #Astrophysics #Chemistry #Computer science #Cosmology #Econometrics #Geology #Mathematics #Outlier #Physics #Robustness (evolution) #Statistical and numerical algorithms #Statistics #astro-ph.CO #gr-qc #hep-ph
- Analyzing categorical time series with the R package ctsfeatures
2023/04/24 by Ángel López Oriona, José Antonio Vilar Fernández, Oriona, Ángel López +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Economics, Econometrics and Finance · #Anomaly detection #Artificial intelligence #Categorical variable #Cluster analysis #Complex Systems and Time Series Analysis #Computer science #Data mining #Data science #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Metabolomics and Mass Spectrometry Studies #Outlier #R package #Series (stratigraphy) #Set (abstract data type) #Time Series Analysis and Forecasting #Time series #Variety (cybernetics)
- Robust Gaussian Process Regression with Huber Likelihood
2023/01/19 by Pooja Algikar, Algikar, Pooja, Lamine Mili +1 · 2 citations
Chemistry · Computer Science · Mathematics · #Advanced Statistical Methods and Models #Applications (stat.AP) #Applied mathematics #Bayesian probability #Cauchy distribution #Covariance #FOS: Computer and information sciences #Gaussian #Gaussian Processes and Bayesian Inference #Gaussian process #Heteroscedasticity #Homoscedasticity #Machine Learning (stat.ML) #Mathematics #Outlier #Posterior probability #Robust regression #Spectroscopy and Chemometric Analyses #Statistics
- Overlap-guided Gaussian Mixture Models for Point Cloud Registration
2022/10/17 by Guofeng Mei, Mei, Guofeng, Fabio Poiesi +9 · 2 citations
Earth and Planetary Sciences · Engineering · Environmental Science · #3D Shape Modeling and Analysis #3D Surveying and Cultural Heritage #Algorithm #Anomaly detection #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Data mining #FOS: Computer and information sciences #Gaussian #Mixture model #Outlier #Pattern recognition (psychology) #Point cloud #Probabilistic logic #Remote Sensing and LiDAR Applications #Statistical model #Transformation (genetics)
- LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
2022/08/15 by Tim Dettmers, Dettmers, Tim, Mike Lewis +5 · 5 voices · 156 citations
Computer Science · Engineering · Mathematics · #Algorithm #Arithmetic #Artificial intelligence #Computer engineering #Computer science #Electrical engineering #Engineering #Ferroelectric and Negative Capacitance Devices #Inference #Mathematics #Matrix multiplication #Outlier #Parallel Computing and Optimization Techniques #Quantum #Reactance #Topic Modeling #Transformer #cs.AI #cs.LG
- META-PLS modelling: An integrated approach to automatic model optimization for near-infrared spectra
2022/07/11 by Puneet Mishra, Junli Xu, Jun‐Li Xu +2 · 3 citations
Chemistry · Engineering · Environmental Science · #Advanced Chemical Sensor Technologies #Algorithm #Artificial intelligence #Computer science #Data mining #Data processing #Data set #Machine learning #Model selection #Near-infrared spectroscopy #Outlier #Partial least squares regression #Pattern recognition (psychology) #Selection (genetic algorithm) #Set (abstract data type) #Spectroscopy and Chemometric Analyses #Water Quality Monitoring and Analysis
- A Novel DVL Calibration Method Based on Robust Invariant Extended Kalman Filter
2022/06/13 by Bo Xu, Yu Guo · 19 citations
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Calibration #Computer science #Computer vision #Extended Kalman filter #GNSS positioning and interference #Inertial Sensor and Navigation #Invariant (physics) #Kalman filter #Mathematics #Outlier #Statistics #Target Tracking and Data Fusion in Sensor Networks
- Fitting and recognition of geometric primitives in segmented 3D point clouds using a localized voting procedure
2022/05/31 by Andrea Raffo, Chiara Romanengo, Bianca Falcidieno +1 · 1 citation
Computer Science · Earth and Planetary Sciences · Mathematics · #3D Surveying and Cultural Heritage #Aggregate (composite) #Algorithm #Artificial intelligence #Computer science #Geometric modeling #Geometric primitive #Geometric shape #Geometry #Hough transform #Image (mathematics) #Image Processing and 3D Reconstruction #Image and Object Detection Techniques #Mathematics #Outlier #Pattern recognition (psychology) #Point (geometry) #Point cloud #Robustness (evolution)
- A Sliding Window Variational Outlier-Robust Kalman Filter Based on Student’s t-Noise Modeling
2022/04/01 by Fengchi Zhu, Yulong Huang, Chao Xue +3 · 4 citations
Computer Science · Engineering · #Algorithm #Artificial intelligence #Computer science #Computer vision #Consistency (knowledge bases) #Extended Kalman filter #Fault Detection and Control Systems #Filter (signal processing) #Image (mathematics) #Kalman filter #Noise (video) #Noise measurement #Noise reduction #Outlier #Pattern recognition (psychology) #Robust statistics #Robustness (evolution) #Sliding window protocol #Structural Health Monitoring Techniques #Target Tracking and Data Fusion in Sensor Networks #Window (computing)
- Self-Distilled StyleGAN: Towards Generation from Internet Photos
2022/02/24 by Ron Mokady, Mokady, Ron, Michal Yarom +13 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial intelligence #Cluster analysis #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Data mining #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image (mathematics) #Information retrieval #Multimodal Machine Learning Applications #Outlier #Pattern recognition (psychology) #Process (computing) #Set (abstract data type) #The Internet #World Wide Web
- Robust Vector Quantized-Variational Autoencoder
2022/02/04 by Chieh-Hsin Lai, Lai, Chieh-Hsin, Dongmian Zou +3 · 1 citation
Computer Science · Mathematics · #AI in cancer detection #Advanced Image and Video Retrieval Techniques #Algorithm #Artificial Intelligence (cs.AI) #Artificial intelligence #Autoencoder #Codebook #Computer science #Deep learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Generative grammar #Generative model #Machine Learning (cs.LG) #Mathematics #Outlier #Pattern recognition (psychology) #Robustness (evolution) #Vector quantization
- Pulse Oximeter Performance, Racial Inequity, and the Work Ahead
2021/11/12 by Olubunmi Okunlola, Olubunmi E Okunlola, Michael S Lipnick +8 · 1 citation
Engineering · Environmental Science · Medicine · #Artificial intelligence #COVID-19 and healthcare impacts #Climate Change and Health Impacts #Computer science #Intensive care medicine #Medicine #Non-Invasive Vital Sign Monitoring #Outlier #Pulse (music) #Telecommunications
- Comparing semi‐landmarking approaches for analyzing three‐dimensional cranial morphology
2021/01/23 by Sara Rolfe, Christopher Davis, A. Murat Maga · 20 citations
Mathematics · Psychology · Social Sciences · #Artificial intelligence #Computer science #Computer vision #Image (mathematics) #Landmark #Morphological variations and asymmetry #Noise (video) #Outlier #Pattern recognition (psychology) #Pleistocene-Era Hominins and Archaeology #Population #Primate Behavior and Ecology #Sample (material) #Sampling (signal processing)
- High-Dimensional Robust Mean Estimation via Gradient Descent
2020/05/04 by Yu Cheng, Cheng, Yu, Ilias Diakonikolas +5 · 1 citation
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Combinatorics #Computer science #Convex optimization #Data Structures and Algorithms (cs.DS) #Dimension (graph theory) #FOS: Computer and information sciences #FOS: Mathematics #Gradient descent #Lemma (botany) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Mathematical optimization #Mathematics #Optimization and Control (math.OC) #Outlier #Range (aeronautics) #Regular polygon #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST) #Stochastic gradient descent
- Anomalous Trajectory Detection and Classification Based on Difference and Intersection Set Distance
2020/01/21 by Jingwei Wang, Yun Yuan, Tianle Ni +4 · 4 citations
Computer Science · Engineering · #Anomaly (physics) #Anomaly Detection Techniques and Applications #Anomaly detection #Artificial intelligence #Computer science #Data Management and Algorithms #Data mining #Data set #Engineering #Focus (optics) #Image (mathematics) #Intersection (aeronautics) #Machine learning #Margin (machine learning) #Metric (unit) #Outlier #Pattern recognition (psychology) #Set (abstract data type) #Similarity (geometry) #Time Series Analysis and Forecasting #Trajectory
- Deep Variational Semi-Supervised Novelty Detection
2019/11/12 by Tal Daniel, Daniel, Tal, Thanard Kurutach +3 · 1 citation
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Anomaly detection #Artificial Immune Systems Applications #Artificial intelligence #Autoencoder #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Deep learning #FOS: Computer and information sciences #Latent variable #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Novelty #Novelty detection #Outlier #Pattern recognition (psychology) #Probabilistic logic #Robotics (cs.RO) #Time Series Analysis and Forecasting #Unsupervised learning
- Learning Regularity in Skeleton Trajectories for Anomaly Detection in\n Videos
2019/03/08 by Romero Morais, Morais, Romero, Vuong Le +10 · 10 citations
Computer Science · Engineering · #Anomaly (physics) #Anomaly Detection Techniques and Applications #Anomaly detection #Artificial Immune Systems Applications #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Encoder #FOS: Computer and information sciences #Human Pose and Action Recognition #Interpretability #Movement (music) #Outlier #Pattern recognition (psychology) #Skeleton (computer programming)
- There and back again: Outlier detection between statistical reasoning and data mining algorithms
2018/08/20 by Arthur Zimek, Peter Filzmoser · 1 citation
Computer Science · Mathematics · #Anomaly Detection Techniques and Applications #Advanced Statistical Methods and Models #Imbalanced Data Classification Techniques #Computer science #Anomaly detection #Outlier #Data mining #Artificial intelligence #Data science #Machine learning #Algorithm
- Correlation Coefficients: Appropriate Use and Interpretation
2018/02/25 by Patrick Schober, Christa Boer, Lothar A. Schwarte · 177 citations
Computer Science · Mathematics · Psychology · #Bivariate analysis #Computational Drug Discovery Methods #Contingency table #Correlation #Correlation coefficient #Correlation ratio #Distance correlation #Fisher transformation #Linear regression #Mathematics #Mental Health Research Topics #Ordinal data #Outlier #Pearson product-moment correlation coefficient #Polychoric correlation #Random variable #Rank correlation #Spearman's rank correlation coefficient #Statistical Methods in Clinical Trials #Statistics
- A salient dictionary learning framework for activity video summarization via key-frame extraction
2017/12/13 by Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Algorithm #Artificial intelligence #Automatic summarization #Cluster analysis #Computer science #Context (archaeology) #Data mining #Feature (linguistics) #Frame (networking) #Greedy algorithm #Key (lock) #Key frame #Machine learning #Music and Audio Processing #Outlier #Pattern recognition (psychology) #Set (abstract data type) #Term (time) #Video Analysis and Summarization #Video processing #Video tracking
- Group-wise similarity registration of point sets using Student’s t-mixture model for statistical shape models
2017/12/06 by Nishant Ravikumar, Ali Gooya, Serkan Çimen +2 · 1 citation
Computer Science · Mathematics · Engineering · #Medical Image Segmentation Techniques #Morphological variations and asymmetry #Medical Imaging and Analysis #Artificial intelligence #Outlier #Pattern recognition (psychology) #Similarity (geometry) #Mixture model #Segmentation #Probabilistic logic #Image registration #Statistical model #Computer science #Computer vision #Mathematics #Image (mathematics)
- Penalized Weighted Least Squares for Outlier Detection and Robust Regression
2016/03/24 by Xiaoli Gao, Yixin Fang, Gao, Xiaoli +1 · 1 citation
Decision Sciences · Engineering · Mathematics · #Advanced Statistical Methods and Models #Advanced Statistical Process Monitoring #Algorithm #Anomaly detection #Artificial intelligence #Bayesian probability #Computer science #FOS: Computer and information sciences #Fault Detection and Control Systems #Lasso (programming language) #Least trimmed squares #Least-squares function approximation #Mathematics #Methodology (stat.ME) #Outlier #Partial least squares regression #Pattern recognition (psychology) #Regression #Regression analysis #Robust regression #Statistics #Total least squares #Transformation (genetics) #stat.ME
- Demographically-Based Evaluation of Genomic Regions under Selection in Domestic Dogs
2016/03/04 by Adam H. Freedman, Rena M. Schweizer, Diego Ortega‐Del Vecchyo +27 · 1 citation
Biochemistry, Genetics and Molecular Biology · Psychology · Environmental Science · #Human-Animal Interaction Studies #Primate Behavior and Ecology #Wildlife Ecology and Conservation #Domestication #Biology #Selection (genetic algorithm) #Outlier #Evolutionary biology #False discovery rate #Breed #Lineage (genetic) #Genetics #Genome #Computational biology #Gene #Statistics #Computer science #Machine learning
- Dynamic Body VSLAM with Semantic Constraints
2015/04/27 by N. Dinesh Reddy, Reddy, N. Dinesh, Prateek Singhal +5 · 1 citation
Computer Science · Engineering · #Advanced Neural Network Applications #Advanced Vision and Imaging #Artificial intelligence #Bundle adjustment #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #FOS: Computer and information sciences #Ground truth #Image (mathematics) #Motion planning #Object (grammar) #Outlier #Path (computing) #Process (computing) #RANSAC #Robot #Robotics and Sensor-Based Localization #Segmentation #Trajectory #cs.CV
- Robust Subspace Clustering via Thresholding
2013/07/18 by Reinhard Heckel, Heckel, Reinhard, Helmut Bölcskei +1 · 2 citations
Computer Science · Engineering · Mathematics · #Adjacency list #Adjacency matrix #Advanced Statistical Methods and Models #Algorithm #Artificial intelligence #Cluster analysis #Clustering high-dimensional data #Combinatorics #Computer science #Data point #Dimension (graph theory) #FOS: Computer and information sciences #Face and Expression Recognition #Graph #Hyperplane #Information Theory (cs.IT) #Linear subspace #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematics #Outlier #Pattern recognition (psychology) #Remote-Sensing Image Classification #Robustness (evolution) #Spectral clustering #Subspace topology #Thresholding #cs.IT #cs.LG #math.IT #stat.ML
- Best-Practice Recommendations for Defining, Identifying, and Handling Outliers
2013/01/14 by Herman Aguinis, Ryan K. Gottfredson, Harry Joo · 1 citation
Decision Sciences · Business, Management and Accounting · Mathematics · #Forecasting Techniques and Applications #Supply Chain Resilience and Risk Management #Advanced Statistical Methods and Models #Outlier #Computer science #Transparency (behavior) #Consistency (knowledge bases) #Context (archaeology) #Identification (biology) #Data science #Data mining #Artificial intelligence
- Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection
2012/12/17 by Erich Schubert, Arthur Zimek, Hans-Peter Kriegel +1 · 2 citations
Computer Science · Mathematics · Medicine · #Anomaly Detection Techniques and Applications #Anomaly detection #Artificial intelligence #Computer science #Data mining #Data-Driven Disease Surveillance #Generalization #Graph #Imbalanced Data Classification Techniques #Locality #Machine learning #Mathematics #Outlier #Pattern recognition (psychology) #Theoretical computer science
- Robust tools for the imperfect world
2012/10/25 by Peter Filzmoser, Valentin Todorov · 9 citations
Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Advanced Statistical Process Monitoring #Anomaly detection #Artificial intelligence #Computer science #Data mining #Dimension (graph theory) #Estimator #Imperfect #Machine learning #Mathematics #Multivariate statistics #Outlier #Robust statistics #Robustness (evolution) #Statistical Methods and Inference #Statistics
- A survey on unsupervised outlier detection in high‐dimensional numerical data
2012/08/27 by Arthur Zimek, Erich Schubert, Hans‐Peter Kriegel · 5 citations
Computer Science · Mathematics · Decision Sciences · #Anomaly Detection Techniques and Applications #Advanced Statistical Methods and Models #Advanced Statistical Process Monitoring #Outlier #Curse of dimensionality #Anomaly detection #Computer science #Linear subspace #Data mining #Euclidean distance #Clustering high-dimensional data #Task (project management) #Machine learning #Artificial intelligence #Mathematics #Cluster analysis
- See all by looking at a few: Sparse modeling for finding representative objects
2012/06/01 by E. Elhamifar, Guillermo Sapiro, René Vidal · 3 citations
Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Image and Signal Denoising Methods #Remote-Sensing Image Classification #Outlier #Computer science #Automatic summarization #Convex hull #Rank (graph theory) #Data point #Point (geometry) #Sparse matrix #Data mining #Pattern recognition (psychology) #Artificial intelligence #Algorithm #Regular polygon #Mathematics #Combinatorics
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