… unimodal decisions apart from the full multimodal context. In considering the question of …
of multimodal integration. Is the task of multimodal integration to produce a multimodal event, …

… recognition performance by evaluating the multimodal recognition probabilities… multimodal
integration process. We evaluate these methods using Quickset, a speech/gesture multimodal …

… To illustrate this aspect in the context of multimodal sensing … same is the case of context
understanding for indoor localization … used approach in multimodal data integration using a deep …

… , we present the Contextual Integration Model as a unifying … in terms of multimodal integration
and representation of contextual … scenarios, the Contextual Integration Model holds that the …

… For humans to accurately understand the world around them, multimodal integration is …
the integration of sensory-motor time-series data and the self-organization of multimodal fused …

… is their non-contextual nature. Recently, contextual language representation models trained
on … We believe that earlier layers allow for better integration of the multimodal information, as …

… Integration mechanism of various modality inputs in the context of Multimodal Interfaces is
the main focus of the paper. 1 A framework is presented which aims to develop a statistically …

… Context has many interpretations. In our case by context we mean any parameter that can
… paper is the continuation of early efforts on statistical Multimodal Integration [3]. Our primary …

… on these meanings, during the multimodal understanding process, a multimodal integrator
… Therefore, we have built a context based multimodal interpreter MIND that applies rich …

… Contextually Informed MultiModal Integrator, CIMMI, that fuses speech and symbolic gestures
probabilistically and is informed by contextual … Contextual knowledge is used to resolve am…