244 citations · 1.5k across the 70 of their papers we have counts for
5 papers · 1 filter
TensorLy: Tensor Learning in Python
Jean Kossaifi, Yannis Panagakis, Anima Anandkumar +1
Tensors are higher-order extensions of matrices. While matrix methods form the cornerstone of machine learning and data analysis, tensor methods have been gaining increasing tracti…
Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation
Adria Ruiz, Ognjen Rudovic, Xavier Binefa +1
In this paper, we address the Multi-Instance-Learning (MIL) problem when bag labels are naturally represented as ordinal variables (Multi--Instance--Ordinal Regression). Moreover,…
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units
Stefanos Eleftheriadis, Ognjen Rudovic, Marc P. Deisenroth +1
We address the task of simultaneous feature fusion and modeling of discrete ordinal outputs. We propose a novel Gaussian process(GP) auto-encoder modeling approach. In particular,…
Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis
Stefanos Eleftheriadis, Ognjen Rudovic, Marc P. Deisenroth +1
We present a novel approach for supervised domain adaptation that is based upon the probabilistic framework of Gaussian processes (GPs). Specifically, we introduce domain-specific…
AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge
Michel Valstar, Jonathan Gratch, Bjorn Schuller +7
The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) "Depression, Mood and Emotion" will be the sixth competition event aimed at comparison of multimedia processing and mach…