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perception rests on an agent's model of how its sensory input comes about and the inferences it draws based on this model. These inferences are necessarily uncertain. Here, we illustrate how the ...

To overcome these limitations, we propose a hierarchical wavelet decomposition network (HWD-Net). HWD-Net leverages wavelet transforms to create a compact feature space, enabling the distinct ...

Abstract: This paper proposes a novel hierarchical feature attention learning network for improved fine-grained visual classification (FGVC). Existing fine-grained classification methods rely heavily ...

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With universities overwhelmingly being governed by corporate interests, a new inquiry seeks to reform the higher education ...

Abstraction and hierarchical information processing are hallmarks of human and animal intelligence underlying the unrivaled flexibility of behavior in biological systems. Achieving such flexibility in ...

The new platform brings reverse-engineering, observability and artificial intelligence capabilities to auto-diagnose and auto-remediate network issues.

Get Instant Summarized Text (Gist) A brain network model has been developed to predict when individuals will feel surprised, based on neuroimaging data. This model, which tracks fluctuations in ...

In this business solutions features, Discover why industry-specific AI agents outperform general-purpose models, ...

Modern relationships take many forms, reflecting the diverse ways people choose to connect. Some embrace the “kitchen table” approach, where all partners maintain open and friendly relationships with ...