- Pose-free 3D Gaussian splatting via shape-ray estimation
2025/05/29 by Youngju Na, Na, Youngju, Taeyeon Kim +11 · 5 voices · 1 citation
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Gaussian #Gaussian process #Geometric primitive #Mixture model #Rendering (computer graphics) #Representation (politics) #Robotics and Sensor-Based Localization #Robustness (evolution)
- Overlap-guided Gaussian Mixture Models for Point Cloud Registration
2022/10/17 by Guofeng Mei, Fabio Poiesi, Mei, Guofeng +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)
- Computational Solutions for Bayesian Inference in Mixture Models
2018/12/18 by Gilles Celeux, Kaniav Kamary, Celeux, Gilles +9 · 1 citation
Chemistry · Computer Science · Decision Sciences · Mathematics · #Artificial intelligence #Bayesian Methods and Mixture Models #Bayesian inference #Bayesian probability #Chemistry #Computation (stat.CO) #Computational chemistry #Computer science #Econometrics #FOS: Computer and information sciences #Gaussian #Gibbs sampling #Inference #Markov Chains and Monte Carlo Methods #Markov chain Monte Carlo #Mathematics #Mixture model #Monte Carlo method #Optimal Experimental Design Methods #Physics #Posterior probability #Robustness (evolution) #Statistical physics #Statistics #stat.CO
- 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)
- K-MLE: A fast algorithm for learning statistical mixture models
2012/03/01 by Frank Nielsen · 1 citation
Computer Science · Mathematics · #Advanced Clustering Algorithms Research #Algorithm #Applied mathematics #Artificial intelligence #Bayesian Methods and Mixture Models #Computer science #Estimator #Expectation–maximization algorithm #Exponential family #Exponential function #Gaussian #Image Retrieval and Classification Techniques #Initialization #Mathematics #Maximum likelihood #Mixture model #Pattern recognition (psychology) #Physics #Statistical model #Statistics #cs.LG #stat.ML
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
2011/04/06 by George E. Dahl, Dong Yu, Li Deng +1 · 3 citations
Computer Science · Mathematics · #Speech Recognition and Synthesis #Music and Audio Processing #Speech and Audio Processing #Hidden Markov model #Computer science #Speech recognition #Word error rate #Artificial intelligence #Artificial neural network #Context (archaeology) #Mixture model #Deep neural networks #Sentence #Generalization #Phone #Deep learning #Pattern recognition (psychology) #Vocabulary #Mathematics
- Latent Class Detection and Class Assignment: A Comparison of the MAXEIG Taxometric Procedure and Factor Mixture Modeling Approaches
2010/10/06 by Gitta H. Lubke, Stephen Tueller · 1 citation
Psychology · Computer Science · Biochemistry, Genetics and Molecular Biology · Mathematics · #Mental Health Research Topics #Bayesian Methods and Mixture Models #Genetic Associations and Epidemiology #Latent class model #Class (philosophy) #Mixture model #Covariance #Cluster analysis #Local independence #Set (abstract data type) #Independence (probability theory) #Computer science #Econometrics #Statistics #Mathematics #Latent variable model #Artificial intelligence
- Point Set Registration: Coherent Point Drift
2009/05/15 by Andriy Myronenko, Xubo Song · 3 citations
Computer Science · Engineering · Mathematics · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Algorithm #Artificial intelligence #Centroid #Computer science #Expectation–maximization algorithm #Image (mathematics) #Mathematics #Mixture model #Noise (video) #Outlier #Pattern recognition (psychology) #Point (geometry) #Point set registration #Rigid transformation #Robotics and Sensor-Based Localization #Transformation (genetics) #cs.CV
- Application of finite mixture models for vehicle crash data analysis
2009/04/10 by Byung-Jung Park, Dominique Lord · 3 citations
Computer Science · Engineering · Mathematics · #Bayesian Methods and Mixture Models #Computer science #Count data #Crash #Data mining #Dispersion (optics) #Econometrics #Mathematics #Mixture model #Negative binomial distribution #Poisson distribution #Poisson regression #Population #Quasi-likelihood #Regression #Regression analysis #Statistical Methods and Bayesian Inference #Statistical model #Statistics #Traffic and Road Safety
- Emotion recognition from Assamese speeches using MFCC features and GMM classifier
2008/11/01 by Aditya Bihar Kandali, Aurobinda Routray, T.K. Basu · 2 citations
Health Professions · Computer Science · #Infant Health and Development #Speech Recognition and Synthesis #Speech and Audio Processing #Assamese #Mel-frequency cepstrum #Speech recognition #Mixture model #Computer science #Classifier (UML) #Artificial intelligence #Speaker recognition #Pattern recognition (psychology) #Sentence #Emotion recognition #Feature extraction #Natural language processing #Linguistics
- Signal Modeling and Classification Using a Robust Latent Space Model Based on t Distributions
2008/01/01 by Sotirios Chatzis, Dimitrios Kosmopoulos, Theodora Varvarigou · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Inference #Advanced Statistical Methods and Models #Overfitting #Computer science #Covariance #Expectation–maximization algorithm #Outlier #Algorithm #Mixture model #Statistical model #Gaussian process #Artificial intelligence #Mathematics #Pattern recognition (psychology) #Gaussian #Statistics #Artificial neural network
- Emotion recognition in spontaneous speech using GMMs
2006/09/17 by Daniel Neiberg, Kjell Elenius, Kornel Laskowski · 1 citation
Computer Science · Psychology · #Speech Recognition and Synthesis #Speech and Audio Processing #Emotion and Mood Recognition #Computer science #Speech recognition #Emotion recognition #Speaker recognition #Mixture model #Artificial intelligence #Natural language processing
- A study of Gaussian mixture models of color and texture features for image classification and segmentation
2006/01/20 by Haim H. Permuter, Haim Permuter, Joseph M. Francos +3 · 1 citation
Computer Science · Engineering · Mathematics · #Artificial intelligence #Bayesian Methods and Mixture Models #Computer science #Computer vision #Image (mathematics) #Image Retrieval and Classification Techniques #Image segmentation #Image texture #Mathematics #Mixture model #Pattern recognition (psychology) #Remote-Sensing Image Classification #Scale-space segmentation #Segmentation #Texture (cosmology)
- Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
2005/04/05 by Zdravko I. Botev, Dirk P. Kroese · 1 citation
Computer Science · Physics and Astronomy · Mathematics · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Statistical Mechanics and Entropy #Entropy maximization #Likelihood function #Computer science #Maximization #Entropy (arrow of time) #Cross entropy #Expectation–maximization algorithm #Maximum likelihood #Mixture model #Principle of maximum entropy #Cross-entropy method #Mathematical optimization #Estimation theory #Algorithm #Mathematics #Statistics #Artificial intelligence #Optimization problem
- Gaussian mixture models of texture and colour for image database retrieval
2003/12/22 by Haim H. Permuter, Joseph M. Francos, Ian H. Jermyn · 2 citations
Computer Science · Engineering · #Image Retrieval and Classification Techniques #Advanced Image and Video Retrieval Techniques #Remote-Sensing Image Classification #Computer science #Artificial intelligence #Mixture model #Image retrieval #Pattern recognition (psychology) #Image texture #Gaussian #Texture (cosmology) #Gaussian network model #Computer vision #Image (mathematics) #Database #Image processing
- Unsupervised learning of finite mixture models
2002/03/01 by Mário A. T. Figueiredo, Anil K. Jain · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Machine Learning and Algorithms #Target Tracking and Data Fusion in Sensor Networks #Mixture model #Expectation–maximization algorithm #Initialization #Computer science #Model selection #Unsupervised learning #Artificial intelligence #Convergence (economics) #Gaussian process #Parametric statistics #Algorithm #Pattern recognition (psychology) #Gaussian #Mathematics #Maximum likelihood
- Testing the number of components in a normal mixture
2001/10/01 by Y. Lo, Yungtai Lo · 109 citations
Computer Science · Mathematics · #Asymptotic distribution #Bayesian Methods and Mixture Models #Component (thermodynamics) #Confidence interval #Convergence (economics) #Distribution (mathematics) #Empirical distribution function #Empirical likelihood #Likelihood-ratio test #Mathematical analysis #Mathematics #Mixture model #Normal distribution #Null distribution #Null hypothesis #Statistic #Statistical Distribution Estimation and Applications #Statistical Methods and Bayesian Inference #Statistical hypothesis testing #Statistics #Test statistic
- Robust text-independent speaker identification using Gaussian mixture speaker models
1995/01/01 by D.A. Reynolds, Richard C. Rose · 2 citations
Computer Science · #Speech Recognition and Synthesis #Speech and Audio Processing #Music and Audio Processing #Speech recognition #Computer science #Mixture model #Robustness (evolution) #Speaker recognition #Speaker identification #Gaussian #Initialization #Population #Pattern recognition (psychology) #Artificial intelligence
- Estimating the Components of a Mixture of Normal Distributions
1969/12/01 by N. E. Day · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference #Advanced Statistical Methods and Models #Mathematics #Estimator #Univariate #Covariance #Statistics #Multivariate normal distribution #Sampling (signal processing) #Covariance matrix #Applied mathematics #Mixture model #Computation #Multivariate statistics #Restricted maximum likelihood #Moment (physics) #Maximum likelihood #Algorithm #Computer science