However, it can be shown that the template co-update algorithm derives from a more general framework which supports the use of more than two template matching ...
The aim of this paper is to point out this fact and propose the co-update of multiple matchers. Preliminary experimental results are shown to validate the ...
However, it can be shown that the template co-update algorithm derives from a more general framework which supports the use of more than two template matching ...
The aim of this paper is to point out this fact and propose the co-update of multiple matchers. Preliminary experimental results are shown to validate the ...
TL;DR: The proposed framework addresses the inherent issues of user inconvenience and system inefficiency in parallel multimodal biometric systems by using ...
However, it can be shown that the template co-update algorithm derives from a more general framework which supports the use of more than two template matching ...
Jun 29, 2024 · We propose an efficient multi-view parallel co-learning (EMPC) method for semi-supervised action recognition.
Jul 10, 2021 · We present a simple and efficient algorithm Multi-Head Co-Training. By integrating base learners into a multi-head structure, the model is in a minimal amount ...
Missing: update Multiple Matchers.
Dec 5, 2021 · Semi-supervised learning uses both labeled and unlabeled data to train a model. Interestingly most existing literature on semi-supervised learning focuses on ...
Co-training is a well-known semi-supervised learning approach which trains classifiers on two or more different views and exchanges pseudo labels of unlabeled ...