Results 81 to 90 of about 3,688,416 (292)
Lost in semantic space: a multi-modal, non-verbal assessment of feature knowledge in semantic dementia [PDF]
A novel, non-verbal test of semantic feature knowledge is introduced, enabling subordinate knowledge of four important concept attributes—colour, sound, environmental context and motion—to be individually probed.
Garrard, P., Carroll, E.
core +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
In the context of the Semantic Web, many ontology-related operations, e.g. ontology ranking, segmentation, alignment, articulation, reuse, evaluation, can be boiled down to one fundamental operation: computing the similarity and?or dissimilarity among ...
Harith Alani +12 more
core +2 more sources
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
Semantic Attention Guided Hierarchical Decision Network for Age Estimation
Image-based human age estimation has been a hot topic in the field of face attribute recognition. As the greatest dilemma of age estimation is the similar appearance of adjacent age labels, this paper presents a two-stage age estimation model based on ...
Xincheng Qiao, Chunlong Hu, Bin Qin
doaj +1 more source
Multilevel Embedding and Dropout for Improved 3D Object Detection in Autonomous Driving Systems
A plug‐in framework for RoI‐based 3D object detectors exploits previously untapped multi‐level information within RoI features. Its novel multi‐level embedding and dropout strategy enables the detection head to generate predictions at different feature levels.
Xiaohu Lu, Hayder Radha
wiley +1 more source
Supporting Complex Decision Making by Semantic Technologies [PDF]
Complex decisions require stakeholders to identify potential decision options and collaboratively select the optimal option. Identifying potential decision options and communicating them to stakeholders is a challenging task as it requires the translation of the decision option’s technical dimension to a stakeholder-compliant language which describes ...
openaire +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Dialogue is an ideal setting for changing linguistic representations thanks to the repeated use of new words and meanings. Two experiments were conducted to examine the extent to which new semantic relationships created during dialogue may change ...
Alicia Fasquel +4 more
doaj +1 more source

