Vocal Bursts Valence Prediction
260 papers with code • 1 benchmarks • 1 datasets
predict the degrees of valence and arousal for the given vocal bursts
Libraries
Use these libraries to find Vocal Bursts Valence Prediction models and implementationsMost implemented papers
Hidden Two-Stream Convolutional Networks for Action Recognition
State-of-the-art action recognition approaches rely on traditional optical flow estimation methods to pre-compute motion information for CNNs.
The Two-Pass Softmax Algorithm
Performance evaluation demonstrates that on out-of-cache inputs on an Intel Skylake-X processor the new Two-Pass algorithm outperforms the traditional Three-Pass algorithm by up to 28% in AVX512 implementation, and by up to 18% in AVX2 implementation.
Discretization Drift in Two-Player Games
Gradient-based methods for two-player games produce rich dynamics that can solve challenging problems, yet can be difficult to stabilize and understand.
MMD Aggregated Two-Sample Test
In practice, this parameter is unknown and, hence, the optimal MMD test with this particular kernel cannot be used.
Neur2SP: Neural Two-Stage Stochastic Programming
Stochastic Programming is a powerful modeling framework for decision-making under uncertainty.
AutoML Two-Sample Test
Two-sample tests are important in statistics and machine learning, both as tools for scientific discovery as well as to detect distribution shifts.
MODS: Fast and Robust Method for Two-View Matching
A novel algorithm for wide-baseline matching called MODS - Matching On Demand with view Synthesis - is presented.
On the Two-View Geometry of Unsynchronized Cameras
We present new methods for simultaneously estimating camera geometry and time shift from video sequences from multiple unsynchronized cameras.
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
We develop a technique for transfer learning in machine comprehension (MC) using a novel two-stage synthesis network (SynNet).
A Two-Stage Method for Text Line Detection in Historical Documents
For example, for the complex track of the cBAD: ICDAR2017 Competition on Baseline Detection the F-value is increased from 0. 859 to 0. 922.