Results 71 to 80 of about 682 (182)
RECOGNITION DESIGN OF LICENSE PLATE AND CAR TYPE USING TESSERACT OCR AND EmguCV
CommIT Journal, 2012 The goal of the research is to design and implement software that can recognize license plates and car types from images. The method used for the research is soft computing using library of EmguCV.
Antonius Herusutopo +3 more
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Abstract Large language models generate responses by traversing high-dimensional semantic manifolds encoded in their weight matrices. We propose that each conversational turn creates three distinct, frozen vector states: the base manifold (static weights), the prompt manifold (human-reorganized semantic space), and the reply manifold (model-activated ...
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Tesseract is a live audiovisual work designed to provoke a questioning of the mechanisms of perception. The work creates interactions between two dimensional and three-dimensional visualisations of sound using lasers and video projections. This sound voltage is derived from a modular synthesiser that is kinaesthetically controlled by the performer ...
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BUSCA DE PALAVRAS CHAVE EM IMAGENS DE LIVROS IMPRESSOS USANDO VISÃO COMPUTACIONAL
Colloquium Exactarum, 2021 Com o uso cada vez mais frequente de livros no formato digital, as pessoas buscam os assuntos desejados de uma maneira mais rápida, se comparado à busca em livros impressos.
Felipe Peruchi Simões +6 more
doaj
Digitization Decisions: Comparing OCR Software for Librarian and Archivist Use
Code4Lib Journal, 2021 This paper is intended to help librarians and archivists who are involved in digitization work choose optical character recognition (OCR) software. The paper provides an introduction to OCR software for digitization projects, and shares the method we ...
Leanne Olson, Veronica Berry
doaj
Identification of Socio Economic Registration Data Using OCR Based Tesseract and Google Cloud Vision
Buana Information Technology and Computer SciencesThe Indonesian government program, called Socio-Economic Registration (Regsosek), aims to measure and monitor the socio-economic conditions of low-income people. One of the relevant data used for research is Regsosek.
Lionardi Ursaputra Pratama +2 more
doaj +1 more source
TesserAct: Learning 4D Embodied World Models
CoRRThis paper presents an effective approach for learning novel 4D embodied world models, which predict the dynamic evolution of 3D scenes over time in response to an embodied agent's actions, providing both spatial and temporal consistency. We propose to learn a 4D world model by training on RGB-DN (RGB, Depth, and Normal) videos. This not only surpasses
Haoyu Zhen +6 more
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Accelerating the Tesseract Decoder for Quantum Error Correction
CoRRQuantum Error Correction (QEC) is essential for building robust, fault-tolerant quantum computers; however, the decoding process often presents a significant computational bottleneck. Tesseract is a novel Most-Likely-Error (MLE) decoder for QEC that employs the A* search algorithm to explore an exponentially large graph of error hypotheses, achieving ...
Dragana Grbic +2 more
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The Memory Tesseract: Distributed MINERVA and the Unification of Memory
We prove that MINERVA 2, a widely-used model of biologi-cal long-term memory, is mathematically equivalent to anauto-associative memory implemented as a fourth order ten-sor. We further propose an alternative implementation ofMINERVA 2 as a holographic lateral inhibition network.
M. Alex Kelly +2 more
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Tesseract Update: Options and Languages
, 2016 A few weeks ago we announced the first release of the tesseract package: a high quality OCR engine in R. We have now released an update with extra features. Installing Training Data As explained in the first post, the tesseract system is powered by language specific training data. By default only English training data is installed.
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