We present novel method for image-text multi-modal representation learning. In our knowledge, this work is the first approach of applying adversarial learning concept to multi-modal learning and not exploiting image-text pair information to learn multi-modal feature. We only use category information in contrast with most previous methods using image-text pair information for multi-modal embeddi...

My essay, “Multi-modal argumentation” was published in the journal, Philosophy of Social Sciences, 1994. This information appeared again my book, Coalescent argumentation 1997. In ensuing twenty years, there have been many changes theory, and I would like to take this opportunity examine now middle-aged theory light developments our discipline. will begin by relating how a once keen intended la...

Multi-modal test execution allows execution of the same test against various layers and components of a software system. This paper presents a method that effectively encodes one-to-many test definition and test execution relationship of multi-modal functional tests without creating large test maintenance overhead. Our approach extends the Fit table specification structure by multi-modal fixtur...

Multi-modal pedestrian detection, which integrates visible and thermal sensors, has been developed to overcome many limitations of visible-modal such as poor illumination, cluttered background, occlusion. By adopting the combination multiple modalities, we can efficiently detect pedestrians even with visibility. Nevertheless, critical assumption multi-modal detection is that images are perfectl...

During a revisit to modal identification in the past three decades, an overview of the major developments and issues in modal identification is motivated. A brief review on the progress from Single-Input/Single-Output (SISO), Single-Input/Multi-Output (SIMO) to Multi-Input/Multi-Output (MIMO) identification in frequency, time and spatial domain, is presented. The latest developments and issues ...

The actual usability of a Virtual Environment (VE) depends to a large extent on the multi-modal interaction interfaces. A multi-modal interaction system combines visual information with many interaction methods to provide flexible and powerful dialogue approaches, thus enabling users to choose single or multiple interactions. This paper is a review of existing multi-modal interaction interfaces...

We present an information theoretic approach to multi-modal signal processing, and validate the framework with illustrative examples from medical image processing and multi-media signal processing. The approach tries to adaptively identify that pair of feature space representations of a pair of multi-modal signals which carries maximal redundancy. Analogously, we can say that the framework extr...

The research described in this paper focuses on the application of modal strain techniques on a multi-girder bridge superstructure with the objectives of identifying the presence of damage and detecting false damage diagnosis for such structures. The case study is a one-third scale model of a slab-on-girder composite bridge superstructure, comprised of a steel-free concrete deck with FRP rebars...

The explosive growth of multimedia data on the Internet has magnified challenge information retrieval. Multimedia usually emerges in different modalities, such as image, text, video, and audio. Unsupervised cross-modal hashing techniques that support searching among multi-modal have gained importance large-scale retrieval tasks because advantage low storage cost high efficiency. Current methods...