Results 91 to 100 of about 33,680 (255)

Video databases annotation enhancing using commonsense knowledgebases for indexing and retrieval [PDF]

open access: yes, 2009
The rapidly increasing amount of video collections, especially on the web, motivated the need for intelligent automated annotation tools for searching, rating, indexing and retrieval purposes.
Ahmed, Amr, Altadmri, Amjad
core  

Semantic Grounding Strategies for Tagbased Recommender Systems

open access: yes, 2011
Recommender systems usually operate on similarities between recommended items or users. Tag based recommender systems utilize similarities on tags. The tags are however mostly free user entered phrases.
Dolog, Peter, Durao, Frederico
core   +1 more source

Fast intensive crowd counting model of Internet of Things based on multi‐scale attention mechanism

open access: yesIET Image Processing, Volume 19, Issue 1, January/December 2025.
Abstract Object detection based on deep learning plays an important role in the application of the Internet of Things (IoT). Traditional methods consume a lot of computing resources and cannot be well deployed in the IoT environment. A lightweight object detection method based on attention mechanism is proposed and applied to crowd counting. In view of
Dong Liu, Zhiyong Wang, Xiangjia Meng
wiley   +1 more source

Are We Talking about the Same Thing? Modeling Semantic Similarity between Common and Specialized Lexica in WordNet

open access: yesLanguages
Specialized languages can activate different sets of semantic features when compared to general language or express concepts through different words according to the domain.
Chiara Barbero, Raquel Amaro
doaj   +1 more source

APPROACH TO IMAGE ANALYSIS FOR COMPUTER VISION SYSTEMS

open access: yesDoklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 2020
This paper suggests an approach to the semantic image analysis for application in computer vision systems. The aim of the work is to develop a method for automatically construction of a semantic model, that formalizes the spatial relationships between ...
N. A. Iskra
doaj   +1 more source

An AI knowledge‐based system for police assistance in crime investigation

open access: yesExpert Systems, Volume 42, Issue 1, January 2025.
Abstract The fight against crime is often an arduous task overall when huge amounts of data have to be inspected, as is currently the case when it comes for example in the detection of criminal activity on the dark web. This work presents and describes an artificial intelligence (AI) based system that combines various tools to assist police or law ...
Carlos Fernandez‐Basso   +4 more
wiley   +1 more source

Increasing the Effectiveness of the Romanian Wordnet in NLP Applications [PDF]

open access: yesComputer Science Journal of Moldova, 2013
The Romanian wordnet is a semantic network under ceaseless enrichment and improvement. Its use in various applications throughout time highlighted the need for further development. In this paper we focus on a question answering scenario.
Verginica Barbu Mititelu
doaj  

The Effectiveness of Concept Based Search for Video Retrieval [PDF]

open access: yes, 2007
In this paper we investigate how a small number of high-level concepts\ud derived for video shots, such as Sport. Face.Indoor. etc., can be used effectively for ad hoc search in video material.
Aly, Robin   +2 more
core   +2 more sources

Ontology-Aware Token Embeddings for Prepositional Phrase Attachment

open access: yes, 2017
Type-level word embeddings use the same set of parameters to represent all instances of a word regardless of its context, ignoring the inherent lexical ambiguity in language.
Ammar, Waleed   +3 more
core   +1 more source

Unlocking Dreams and Dreamless Sleep: Machine Learning Classification With Optimal EEG Channels

open access: yesBioMed Research International, Volume 2025, Issue 1, 2025.
Research suggests that dreams play a role in the regulation of emotional processing and memory consolidation; electroencephalography (EEG) is useful for studying them, but manual annotation is time‐consuming and prone to bias. This study was aimed at developing an EEG‐based machine learning (ML) model to automatically identify dream and dreamless ...
Luis Alfredo Moctezuma   +3 more
wiley   +1 more source

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