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Found 11 papers, 2 papers with code
Language-guided Human Motion Synthesis with Atomic Actions
In this paper, we propose ATOM (ATomic mOtion Modeling) to mitigate this problem, by decomposing actions into atomic actions, and employing a curriculum learning strategy to learn atomic action composition.
A Robust Backpropagation-Free Framework for Images
While current deep learning algorithms have been successful for a wide variety of artificial intelligence (AI) tasks, including those involving structured image data, they present deep neurophysiological conceptual issues due to their reliance on the gradients that are computed by backpropagation of errors (backprop).
Dimensionality Reduction with Subspace Structure Preservation
Modeling data as being sampled from a union of independent subspaces has been widely applied to a number of real world applications.
Is Joint Training Better for Deep Auto-Encoders?
But due to the greedy scheme of the layerwise training technique, the parameters of lower layers are fixed when training higher layers.
An Analysis of Random Projections in Cancelable Biometrics
With increasing concerns about security, the need for highly secure physical biometrics-based authentication systems utilizing \emph{cancelable biometric} technologies is on the rise.
A Concept Learning Approach to Multisensory Object Perception
This paper presents a computational model of concept learning using Bayesian inference for a grammatically structured hypothesis space, and test the model on multisensory (visual and haptics) recognition of 3D objects.
Regression with Uncertainty Quantification in Large Scale Complex Data
While several methods for predicting uncertainty on deep networks have been recently proposed, they do not readily translate to large and complex datasets.
Modeling Global Body Configurations in American Sign Language
Finally, when compared with spoken languages, such as English, there has been limited research conducted into the linguistics of ASL.
WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments
This paper describes the WLV-RIT entry to the Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC) shared task 2020.
A Probabilistic Model Of Interaction Dynamics for Dyadic Face-to-Face Settings
We also test the model with a never-before-seen parent-infant dataset comprising of two different modes of communication between the dyads, and show that our model successfully delineates between the modes, based on their interacting dynamics.
SignNet: Single Channel Sign Generation using Metric Embedded Learning
In the task of gloss to pose, SignNet performed as well as its state-of-the-art (SoTA) counterparts and outperformed them in the task of text to pose, by showing noteworthy enhancements in BLEU 1 - BLEU 4 scores (BLEU 1: 31->39; ~26% improvement and BLEU 4: 10. 43->11. 84; ~14\% improvement) when tested on the popular RWTH PHOENIX-Weather-2014T benchmark dataset
