Crowd sourcing has become a widely adopted scheme to collect ground truth labels.
#3 best model for Facial Expression Recognition on FERPlus
An event happening in the world is often made of different activities and actions that can unfold simultaneously or sequentially within a few seconds.
In this work, we present DiSMEC, which is a large-scale distributed framework for learning one-versus-rest linear classifiers coupled with explicit capacity control to control model size.
In this paper, we develop a suite of algorithms, called Bonsai, which generalizes the notion of label representation in XMC, and partitions the labels in the representation space to learn shallow trees.
Automatically constructing a food diary that tracks the ingredients consumed can help people follow a healthy diet.
A capsule is a group of neurons, whose activity vector represents the instantiation parameters of a specific type of entity.
Many applications, such as text modelling, high-throughput sequencing, and recommender systems, require analysing sparse, high-dimensional, and overdispersed discrete (count-valued or binary) data.
Our proposed framework builds a multi-label meta-classifier responsible for recommending a set of relevant model types based on the local data complexity of the region surrounding each test sample.