Results 91 to 100 of about 3,274,646 (190)

Are developmental disorders like cases of adult brain damage? Implications from connectionist modelling [PDF]

, 2002
It is often assumed that similar domain-specific behavioural impairments found in cases of adult brain damage and developmental disorders correspond to similar underlying causes, and can serve as convergent evidence for the modular structure of the ...
Thomas, Michael S.C., Thomas, MSC, Karmiloff-Smith, Annette, Karmiloff-Smith, A   +3 more
core   +1 more source

Hybrid Deep Learning Frameworks for License Plate Recognition in Complex Environments: A Comprehensive Survey and Research Outlook

IET Computer Vision, Volume 20, Issue 1, January/December 2026.
This survey systematically reviews state‐of‐the‐art license plate recognition methods, with a focus on hybrid CNN‐transformer frameworks and the joint optimisation of detection and recognition for real‐world deployment. It further analyses existing datasets, highlights persistent challenges, such as domain generalisation, and outlines pathways towards ...
SanXing Deng, Ewe Lay Sheng, Tiong Sieh Kiong, MengMeng Yang   +3 more
wiley   +1 more source

Tests of the ratio rule in categorization [PDF]

, 2000
Many theories of learning and memory (e.g. connectionist, associative, rational, exemplar-based) produce psychological magnitude terms as output (i.e. numbers representing the momentary level of some subjective property). Many theories assume that these
Stewart, Neil, A. J. Wills, Mark Suret, I.P.L. McLaren, Suret, Mark, McLaren, I.P.L, Neil Stewart, I. P. L. Mclaren, Reimers, Stian, Wills, A.J., Stian Reimers, A.J. Wills   +11 more
core   +1 more source

Focal CTC Loss for Chinese Optical Character Recognition on Unbalanced Datasets

Complexity, 2019
In this paper, we propose a novel deep model for unbalanced distribution Character Recognition by employing focal loss based connectionist temporal classification (CTC) function.
Xinjie Feng, Hongxun Yao, Shengping Zhang   +2 more
doaj   +1 more source

Uncertainty‐Aware Processing for OCR Using Dictionary Routing and Candidate Selection

Electronics Letters, Volume 62, Issue 1, January/December 2026.
This paper proposes an Uncertainty‐Aware Processing (UAP) framework that reduces the Character Error Rate (CER) without additional training or inference. The method calculates two metrics using the results of Connectionist Temporal classification (CTC). These two metrics are used to estimate a character‐level uncertainty.
Gi Hoon Kim, JiU Bak, Hyunguk Choi
wiley   +1 more source

Land cover classification using multi-temporal MERIS vegetation indices [PDF]

, 2007
The spectral, spatial, and temporal resolutions of Envisat's Medium Resolution Imaging Spectrometer (MERIS) data are attractive for regional- to global-scale land cover mapping.
Mathur, A., Lillesand, T.M., Chipman, J., Curran, Paul, Foody, G.M., Curran, P.J., Foody, Giles M., Dash, J.   +7 more
core   +1 more source

The Agent Preference in Ontogeny: Predictability of Agent and Patient Roles in Child‐Directed Utterances Across Languages

Cognitive Science, Volume 50, Issue 1, January 2026.
Abstract Language comprehension unfolds incrementally, requiring listeners to continually predict and revise interpretations. Comprehenders across very diverse languages show a consistent preference for agents, anticipating the agent (“the doer” of an action) more strongly than the patient (“the undergoer”). An unresolved question is how the preference
Eva Huber, Aylin C. Küntay, Balthasar Bickel, Sabine Stoll   +3 more
wiley   +1 more source

Shared Minds: The Cognitive Parallels Between Humans and Artificial Intelligence

Human Behavior and Emerging Technologies, Volume 2026, Issue 1, 2026.
This narrative review integrates evidence from cognitive science and AI research to challenge commonly accepted dichotomies between human and artificial cognition, such as the assumed divide between genuine human understanding and mere machine pattern matching. Instead, we propose a view that recognises similarities in their cognitive architectures and
Sébastien Tremblay, Alexandre Marois, Marzieh Zare, Daniel Lafond, Tze Wei Liew   +4 more
wiley   +1 more source

Utilizing Residual Network 50 Convolutional Neural Network Architecture for Enhanced Philippine Regional Language Classification on Jetson Orin Nano

Engineering Proceedings
Visual speech recognition systems encounter significant challenges in multilingual nations such as the Philippines, where numerous regional languages, including Cebuano and Ilocano, feature distinct phonetic-visual characteristics.
John Paul T. Cruz, Aaron B. Abadiano, FP O. Sangilan, Emmy Grace T. Requillo, Roben A. Juanatas   +4 more
doaj   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, Volume 1, Issue 3, December 2025.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source