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Vocal Bursts Intensity Prediction

predict the intensity of 10 categorical emotions

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TitleStatusHype
Sparse Principal Component Analysis for High Dimensional Vector Autoregressive Models—0
Optimal Feature Selection in High-Dimensional Discriminant Analysis—0
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression—0
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation—0
Megastereo: Constructing High-Resolution Stereo Panoramas—0
Learning Binary Codes for High-Dimensional Data Using Bilinear Projections—0
Relational words have high metaphoric potential—0
Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation—0
Exploring Compositional High Order Pattern Potentials for Structured Output Learning—0
Efficient Image Retargeting for High Dynamic Range Scenes—0
High Level Pattern Classification via Tourist Walks in Networks—0
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition—0
Bayesian crack detection in ultra high resolution multimodal images of paintings—0
Continuum armed bandit problem of few variables in high dimensions—0
Feature Elimination in Kernel Machines in moderately high dimensions—0
High-dimensional Mixed Graphical Models—0
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems—0
Covariance Estimation in High Dimensions via Kronecker Product Expansions—0
An Impossibility Result for High Dimensional Supervised Learning—0
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data—0
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions—0
Efficient high dimensional maximum entropy modeling via symmetric partition functions—0
Compressive neural representation of sparse, high-dimensional probabilities—0
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover—0
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models—0
Minimax sparse principal subspace estimation in high dimensions—0
Mixture model for designs in high dimensional regression and the LASSO—0
High-Dimensional Screening Using Multiple Grouping of Variables—0
Exact Sampling and Decoding in High-Order Hidden Markov Models—0
Learning High-Level Planning from Text—0
High-frequency market-making with inventory constraints and directional bets—0
Identifying High-Level Organizational Elements in Argumentative Discourse—0
Diversifiable Bootstrapping for Acquiring High-Coverage Paraphrase Resource—0
A High-Quality Web Corpus of Czech—0
Versatile Speech Databases for High Quality Synthesis for Basque—0
Optimality of Graphlet Screening in High Dimensional Variable Selection—0
Design of a hybrid high quality machine translation system—0
A high speed transcription interface for annotating primary linguistic data—0
Fast and Adaptive Sparse Precision Matrix Estimation in High Dimensions—0
Optimal detection of sparse principal components in high dimension—0
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso—0
Building high-level features using large scale unsupervised learningCode0
Learning to Search Efficiently in High Dimensions—0
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions—0
Greedy Algorithms for Structurally Constrained High Dimensional Problems—0
High Performance Human Face Recognition using Independent High Intensity Gabor Wavelet Responses: A Statistical Approach—0
Learning high-dimensional directed acyclic graphs with latent and selection variables—0
High-Performance Neural Networks for Visual Object Classification—0
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference—0
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical ModelsCode0
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