Improving Single Modal and Multimodal Biometric Authentication Using F-ratio Client-Dependent Normalisation This study investigates a new client-dependent normalisation to improve a single biometric authentication system, as well as its effects on fusion. There e... N Poh,S Bengio - 《Idiap》 被引...
称为“k-disks”，用于标记轨迹数据，使得可以使用小词汇量对Waymo Open Dataset进行标记，以及一个基于T...
The fundamental difference between multimodal AI and traditional single-modal AI is the data. A unimodal AI is restricted to processing a single type of data or source, such as text, images or audio and can't understand complex relationships across different data types. For example, a financial...
第一种是Multimodal Transport，是以两种及以上运输方式完成的货物运输，第二种是Intermodal Transport，货物...
Multimodal biometric systems have many advantages over single-modal biometric systems, e.g. higher recognition accuracy and security level. However, for most existing multimodal biometric systems, experiments are conducted using the unreal multimodal databases in which no samples of different biometric modu...
To further test the usability of MultiVI’s imputation, we next explored a scenario in which the multi- and single-modal data come from different biological conditions. In this case, we resorted to the PBMCs dataset collected under the DOGMA-seq protocol7. In this dataset, PBMCs are profile...
We used a single NVIDIA GeForce RTX 2080 Ti (11 GB) GPU for training our model. The latter consists of 29.6M trainable parameters. The time taken for training our model on such a setup was approximately 1.94 hours. In the second stage, the generative model serves as a reconstruction prior...
In this paper, we present a novel histogram based method for estimating and maximising mutual information (MI) between two multi-modal and possibly multi-b... R Fransens,C Strecha,LV Gool - 《Colloquium Mathematicum》 被引量: 36发表: 2004年 加载更多研究...
方法:本文提出多模态变分自编码器 (MVAE),利用专家相乘前向网络(product-of-expert inference network)和子采样训练(sub-sampled training paradigm)解决multi-modal inference problem. 本文通过共享参数来学习各种模态缺失的情况。此外,MVAE可直接用于弱监督及不完全监督中。
Millimeter wave radars can monitor physiological signals in the static state and posture in the dynamic state. These biometrics can be used for identity recognition to address matching vital sign monitoring with the user identity information. However, existing studies are based on single-modal ...