Results 91 to 100 of about 500,543 (293)
Scene-Aware Deep Networks for Semantic Segmentation of Images
IEEE Access, 2019 Scene classification and semantic segmentation are two important research directions in computer vision. They are widely used in the research of automatic driving and human–computer interaction.
Zhike Yi +5 more
doaj +1 more source
Conditions for interoperability [PDF]
, 2005 Interoperability for information systems remains a challenge both at the semantic and organisational levels. The original three-level architecture for local databases needs to be replaced by a categorical four-level one based on concepts, constructions ...
Heather, Michael, Rossiter, Nick
core
Unsupervised Learning of Semantic Audio Representations
, 2017 Even in the absence of any explicit semantic annotation, vast collections of audio recordings provide valuable information for learning the categorical structure of sounds.
Ellis, Daniel P. W. +7 more
core +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Brain and Behavior, 2019 Introduction How do multiple sources of information interact to form mental representations of object categories? It is commonly held that object categories reflect the integration of perceptual features and semantic/knowledge‐based features.
Lindsay W. Victoria +2 more
doaj +1 more source
FEATURE TYPE EFFECTS IN SEMANTIC MEMORY: AN EVENT RELATED POTENTIALS STUDY [PDF]
, 2005 It is believed that the N400 elicited by concepts belonging to Living is larger than N400 to Objects. This is considered as evidence that concepts are organized, in the brain, on the basis of categories.
Lombardi, Dr. Luigi +3 more
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Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Taxonomic structure in a set of abstract concepts
Frontiers in PsychologyA large portion of human knowledge comprises “abstract” concepts that lack readily perceivable properties (e.g., “love” and “justice”). Since abstract concepts lack such properties, they have historically been treated as an undifferentiated category of ...
Andrew S. Persichetti +4 more
doaj +1 more source
Event Semantics and Abstract Categorial Grammar
, 2011 Common versions of event semantics do not naturally explain the obligatory narrow scope of existential quantification over events, or the typically event-oriented modification by adverbials. We argue that these linguistic properties reflect a distinction between overt arguments and purely semantic slots like the event argument.
Winter, Y.S., Zwarts, J.
openaire +3 more sources
Semantic, Aspectual Category and Evidential Category of-guo
English Language Teaching and Linguistics Studies, 2020 The semantics of -guo indicates a non-empty set of a type of eventuality in a certain time frame, while the properties of term inability, discontinuity and repeatability are only pragmatic implicatures. From the viewpoint of event structure, -guo is better considered as an imperfective marker than an experiential marker which asserting the activity ...
openaire +2 more sources