Nothing Special   »   [go: up one dir, main page]

×
Please click here if you are not redirected within a few seconds.
In this work, a multi-domain search space is presented in with two domains: speech and facial images. A single search space is created that contains data from ...
In this work, a multi-domain search space is presented in with two domains: speech and facial images. A single search space is created that contains data from ...
In this paper, a method to expand CBIR to model data from multiple domains is proposed, improving on past multi-domain data retrieval systems with a geometric ...
Oct 11, 2011 · A single search space is created that contains data from these vastly different domains and cross-domain inferences are allowed. In other words, ...
In this work, a multi-domain search space is presented in with two domains: speech and facial images. A single search space is created that contains data from ...
People also ask
Multimodal biometric refers to a system that uses multiple personal traits such as iris, fingerprints, face, retina, hand geometry, voice or signatures for ...
Mar 24, 2024 · We propose a multi-domain incremental learning (MDIL) method for PAD, which not only learns knowledge well from the new domain but also maintains the ...
With this new database, it is now possible to evaluate cross-sensor finger- print interoperability using fingerprint data that is currently publicly available ...
Oct 1, 2021 · A multimodality is preferable to a single modality in DL models, and can involve various biometric inputs such as ECG, facial images, ...
BPOIC methodology: Multimodal data enhancement and processing based on self-supervised learning, cross-modality correlation, and domain knowledge; multi- ...