Index for phun

Phung, D. Co Author Listing * Bayesian Multi-Hyperplane Machine for Pattern Recognition
* Clustering for point pattern data
* Distributed data augmented support vector machine on Spark
* Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability
* Faster training of very deep networks via p-norm gates
* Improving Adversarial Robustness by Enforcing Local and Global Compactness
* MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data
* Model-Based Classification and Novelty Detection for Point Pattern Data
* Model-based learning for point pattern data
* nonparametric Bayesian Poisson gamma model for count data, A
* Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models
* Stable clinical prediction using graph support vector machines
* Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model
Includes: Phung, D. Phung, D.[Dinh]
13 for Phung, D.

Phung, D.Q.[Dinh Q.] Co Author Listing * Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
* AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
* Affective and Content Analysis of Online Depression Communities
* Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings
* Automatically learning structural units in educational videos with the hierarchical hidden markov models
* Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data, A
* Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis
* Efficient duration and hierarchical modeling for human activity recognition
* Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model
* Improved subspace clustering via exploitation of spatial constraints
* Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models
* Mixed-norm sparse representation for multi view face recognition
* Multi-modal abnormality detection in video with unknown data segmentation
* Multi-View Subspace Clustering for Face Images
* Narrative structure analysis with education and training videos for e-learning
* Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data
* Nonparametric discovery of movement patterns from accelerometer signals
* probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment, A
* Visual Object Clustering via Mixed-Norm Regularization
* You Tube and I Find Personalizing Multimedia Content Access
Includes: Phung, D.Q.[Dinh Q.] Phung, D.Q. Phung, D.Q.[Dinh Quoc]
20 for Phung, D.Q.

Phung, E.[Edmund] Co Author Listing * Hybrid eye center localization using cascaded regression and hand-crafted model fitting
* Real-Time Deep Hair Matting on Mobile Devices
Includes: Phung, E.[Edmund] Phung, E.

Phung, M.D. Co Author Listing * Summit Navigator: A Novel Approach for Local Maxima Extraction

Phung, S.L.[Son Lam] Co Author Listing * Adaptive Autoregressive Logarithmic Search for 3D Human Tracking
* Adaptive regularization for image restoration using a variational inequality approach
* Adaptive regularization for multiple image restoration using an extended Total Variations approach
* Affine-invariant scene categorization
* Automatic Classification of Ground-Penetrating-Radar Signals for Railway-Ballast Assessment
* Automatic Image Annotation for Semantic Image Retrieval
* Automatic Recognition of Smiling and Neutral Facial Expressions
* Breast cancer diagnosis in DCE-MRI using mixture ensemble of convolutional neural networks
* Compressive Radar Imaging of Stationary Indoor Targets With Low-Rank Plus Jointly Sparse and Total Variation Regularizations
* Compressive Sensing Approach to Image Restoration, A
* Crowd Behavior Recognition Using Dense Trajectories
* Depth image super-resolution using multi-dictionary sparse representation
* efficient local method for stereo matching using daisy features, An
* Efficient Vanishing Point Estimation for Unstructured Road Scenes
* Fast digital optical flow estimation based on EMD
* Feature selection for facial expression recognition
* Human Gait Recognition with Micro-Doppler Radar and Deep Autoencoder
* Improved Facial Expression Recognition with Trainable 2-D Filters and Support Vector Machines
* Infer the Input to the Generator of Auxiliary Classifier Generative Adversarial Networks
* Integrating the Projective Transform with Particle Filtering for Visual Tracking
* Invariant image recognition under projective deformations: An image normalization approach
* Lane Detection in Unstructured Environments for Autonomous Navigation Systems
* Markov random fields for abnormal behavior detection on highways
* Motion Estimation with Adaptive Regularization and Neighborhood Dependent Constraint
* Multipolarization Through-Wall Radar Imaging Using Low-Rank and Jointly-Sparse Representations
* Naive bayes face/nonface classifier: a study of preprocessing and feature extraction techniques
* New Approach to Sparse Image Representation Using MMV and K-SVD, A
* novel skin color model in YCBCR color space and its application to human face detection, A
* Object segmentation and classification using 3-D range camera
* Optical flow estimation using sparse gradient representation
* Ordinal Depth Classification Using Region-based Self-attention
* Pedestrian lane detection for assistive navigation of blind people
* Pedestrian Lane Detection for the Visually Impaired
* Pedestrian Lane Detection in Unstructured Environments for Assistive Navigation
* Pedestrian lane detection in unstructured scenes for assistive navigation
* Pedestrian sensing using time-of-flight range camera
* Pooling-Based Feature Extraction and Coarse-to-fine Patch Matching for Optical Flow Estimation
* Probabilistic Fuzzy Image Fusion Approach for Radar Through Wall Sensing
* Real-time Pedestrian Lane Detection for Assistive Navigation using Neural Architecture Search
* Skin Segmentation Using Color Pixel Classification: Analysis and Comparison
* Super Descriptor Tensor Decomposition for Dynamic Scene Recognition, A
* supervised learning approach for imbalanced data sets, A
* Vehicle Tracking Using Projective Particle Filter
* Video Classification Based on Spatial Gradient and Optical Flow Descriptors
* Violent Scene Detection Using a Super Descriptor Tensor Decomposition
* Wavelet based nonlocal-means super-resolution for video sequences
Includes: Phung, S.L.[Son Lam] Phung, S.L. Phung, S.L.[Son L.]
46 for Phung, S.L.

Index for "p"

Last update:14-Jun-21 09:51:47
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