Results 241 to 250 of about 256,814 (289)
Some of the next articles are maybe not open access.

Multi-Modal Convolutional Dictionary Learning

IEEE Transactions on Image Processing, 2022
Convolutional dictionary learning has become increasingly popular in signal and image processing for its ability to overcome the limitations of traditional patch-based dictionary learning. Although most studies on convolutional dictionary learning mainly focus on the unimodal case, real-world image processing tasks usually involve images from multiple ...
Fangyuan Gao   +4 more
openaire   +2 more sources

Multi-Modal Humanoid

2020 International Conference on Communication and Signal Processing (ICCSP), 2020
Human robot interaction termed as HRI deals with the interaction between humans and robots through natural means of communication. For effective communication, the robot must have its own intelligence as that of human called as artificial intelligence (AI).
A N Srinidhi   +2 more
openaire   +1 more source

Multi-Modality Microendoscope

Biomedical Optics and 3-D Imaging, 2010
An innovative multi-modality microendoscope is described that combines a parallelized point scanning multi-spectral confocal microendoscope with optical coherence tomography imaging. The system is intended for in-vivo diagnosis of early stage diseases. Preliminary results are provided.
Houssine Makhlouf   +2 more
openaire   +1 more source

Multi-Modal Learning

Proceedings of the 24th ACM international conference on Multimedia, 2016
Micro-video sharing social services, as a new phenomenon in social media, enable users to share micro-videos and thus gain increasing enthusiasm among people. One distinct characteristic of micro-videos is the multi-modality, as these videos always have visual signals, audio tracks, textual descriptions as well as social clues. Such multi-modality data
openaire   +1 more source

Multi-Modal Argumentation

Philosophy of the Social Sciences, 1994
The main stream of formal and informal logic as well as more recent work in discourse analysis provides a way of understanding certain arguments that particularly lend themselves to rational analysis. I argue, however, that these, and allied modes of analysis, be seen as heuristic models and not as the only proper mode of argument.
openaire   +1 more source

Flexible Dual Multi-Modal Hashing for Incomplete Multi-Modal Retrieval

International Journal of Image and Graphics
Multimodal hashing aims to efficiently integrate multi-source data into a unified discrete Hamming space, facilitating fast similarity searches with minimal query and storage overhead. Traditional multimodal hashing assumes that data from different sources are fully observed, an assumption that fails in real-world scenarios involving large-scale ...
Yuhong Wei, Junfeng An
openaire   +1 more source

Multi-Modal Transportation

2019
This chapter highlights concepts, dimensions, issues, and challenges associated with multimodal transportation of goods. It gives a decision-making framework for selection of modes and nodes based on the dimensions of multimodal system. Thirteen dimensions of multimodal transportation have been identified and its impact on selection of logistics route ...
openaire   +1 more source

Future of Multi-Modal Mobility

2020
Todays’ travelling is a mess. Overcrowded at any transportation mode: in the air, on the road and on rail tracks. Key requirement of end users for passenger and cargo is easy, convenient and affordable in-time door-to-door transportation.
openaire   +1 more source

Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion

ACM Transactions on Multimedia Computing, Communications and Applications, 2021
Yang Wang
exaly  

Exploring a large-scale multi-modal transportation recommendation system

Transportation Research Part C: Emerging Technologies, 2021
Yang Liu, Cheng Lyu, Zhiyuan Liu
exaly  

Home - About - Disclaimer - Privacy