Results 1 to 10 of about 331,795 (188)
Deceptive Information Retrieval. [PDF]
Entropy (Basel)We introduce the problem of deceptive information retrieval (DIR), in which a user wishes to download a required file out of multiple independent files stored in a system of databases while deceiving the databases by making the databases’ predictions on the user-required file index incorrect with high probability.
Vithana S, Ulukus S.
europepmc +5 more sources
Beyond information retrieval: information discovery and multimedia information retrieval
Bibliothecae.it, 2017 The paper compares the current methodologies for search and discovery of information and information resources: terminological search and term-based language, own of information retrieval (IR); semantic search and information discovery, being developed ...
Roberto Raieli
doaj +2 more sources
2021 Fifth International Conference on Information Retrieval and Knowledge Management (CAMP), 2021 +4 more sources
Study of Various Data Mining Methods to Select the Appropriate Method for Managers to Make Decisions in Urban Management (Case Study: Tehran Municipality) [PDF]
علوم و فنون مدیریت اطلاعات, 2021 Purpose: The main purpose of this article is to analyze the data of the Tehran Municipality websites and provide data mining solutions for managers' decisions.Methodology: This research is fundamental and in terms of nature, it can be considered ...
Shayesteh Shojaei Karizaki +2 more
doaj +1 more source
Using Deep-Learned Vector Representations for Page Stream Segmentation by Agglomerative Clustering
Algorithms, 2023 Page stream segmentation (PSS) is the task of retrieving the boundaries that separate source documents given a consecutive stream of documents (for example, sequentially scanned PDF files).
Lukas Busch +2 more
doaj +1 more source
Complexity, 2023 Many real-world systems of various origins are capable of self-organization to the edge of a phase transition, characterized by avalanche-like behavior. Therefore, it is important, by observing the behavior of early warning measures for dynamical series ...
Andrey Dmitriev +3 more
doaj +1 more source
UCN-YOLOv5: Traffic Sign Object Detection Algorithm Based on Deep Learning
IEEE Access, 2023 Traffic sign detection plays an important role in traffic safety and traffic management. In view of the complex and changeable environment and detection accuracy of traffic sign detection, this paper proposes UCN-YOLOv5 model based on the framework of ...
Peilin Liu, Zhaoyang Xie, Taijun Li
doaj +1 more source
Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction
Entropy, 2023 An important challenge in machine learning is performing with accuracy when few training samples are available from the target distribution. If a large number of training samples from a related distribution are available, transfer learning can be used to
Nathan Cornille +3 more
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Geographic Information Retrieval [PDF]
SIGSPATIAL Special, 2011 This special issue of SIGSPATIAL Special presents a series of notes describing the state of the art in Geographic Information Retrieval. The notes are intended to provide a review of some of the challenges presented as key research areas in Geographic Information Retrieval [Larson, Jones and Purves], and reflect progress in the field in the intervening
Purves, Ross S, Jones, Christopher B
openaire +4 more sources
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Electroencephalography-to-Text generation (EEG-to-Text), which aims to directly generate natural text from EEG signals has drawn increasing attention in recent years due to the enormous potential for Brain-computer interfaces.
Xiachong Feng +3 more
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