SOTAVerified

Vocal Bursts Intensity Prediction

predict the intensity of 10 categorical emotions

Papers

Showing 1401–1450 of 2614 papers

TitleStatusHype
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model—0
From low probability to high confidence in stochastic convex optimization—0
Robust Subspace Outlier Detection in High Dimensional Space—0
Robust Testing in High-Dimensional Sparse Models—0
S2F2: Self-Supervised High Fidelity Face Reconstruction from Monocular Image—0
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning—0
S4: a High-sparsity, High-performance AI Accelerator—0
SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning—0
Safe Feature Pruning for Sparse High-Order Interaction Models—0
Salient Object Detection via High-to-Low Hierarchical Context Aggregation—0
Salient Region Detection via High-Dimensional Color Transform—0
Sample and Computationally Efficient Stochastic Kriging in High Dimensions—0
Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes—0
Sampling High Throughput Data for Anomaly Detection of Data-Base Activity—0
SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images—0
SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement—0
Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution—0
Scalable Deep Generative Relational Models with High-Order Node Dependence—0
Scalable high-dimensional indexing and searching with Hadoop—0
Scalable High Performance SDN Switch Architecture on FPGA for Core Networks—0
Scalable, High-Quality Object Detection—0
Scalable Hybrid Classification-Regression Solution for High-Frequency Nonintrusive Load Monitoring—0
Scale-aware Two-stage High Dynamic Range Imaging—0
Scale calibration for high-dimensional robust regression—0
Searching a High-Performance Feature Extractor for Text Recognition Network—0
Securing Distributed Gradient Descent in High Dimensional Statistical Learning—0
Selective Factor Extraction in High Dimensions—0
Selective Inference for Sparse High-Order Interaction Models—0
Self-calibration and antenna grouping for bistatic oceanographic High-Frequency Radars—0
Self-supervised Adversarial Robustness for the Low-label, High-data Regime—0
Semantic 3D Occupancy Mapping through Efficient High Order CRFs—0
Semantic Labeling of High Resolution Images Using EfficientUNets and Transformers—0
Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections—0
Semi-supervised deep learning for high-dimensional uncertainty quantification—0
Semi-supervised semantic segmentation needs strong, high-dimensional perturbations—0
Semi-supervised Synthesis of High-Resolution Editable Textures for 3D Humans—0
Sensor Selection in High-Dimensional Gaussian Trees with Nuisances—0
SentiWords: Deriving a High Precision and High Coverage Lexicon for Sentiment Analysis—0
Sequential change-point detection in high-dimensional Gaussian graphical models—0
Sequential Optimization for Efficient High-Quality Object Proposal Generation—0
Serverless computing provides on-demand high performance computing for biomedical research—0
SFOL DME Pulse Shaping Through Digital Predistortion for High-Accuracy DME—0
Shallow Networks for High-Accuracy Road Object-Detection—0
ShapeVis: High-dimensional Data Visualization at Scale—0
Sharp Convergence Rates for Forward Regression in High-Dimensional Sparse Linear Models—0
Shooting High or Low: Do Countries Benefit from Entering Unrelated Activities?—0
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing—0
Short-Term Traffic Forecasting Using High-Resolution Traffic Data—0
Siamese Attentional Keypoint Network for High Performance Visual Tracking—0
Sign-Coded Exposure Sensing for Noise-Robust High-Speed Imaging—0
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