Results 31 to 40 of about 3,059,792 (284)
Sensors, 2023 Various elements, such as evolutions in IoT services resulting from sensoring by vehicle parts and advances in small communication technology devices, have significantly impacted the mass spread of mobility services that are provided to users in need of ...
Jinsu Kim +3 more
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The Effect of Forward Testing as a Function of Test Occasions and Study Material
Behavioral Sciences, 2021 It has long been known that one of the most effective study techniques is to be tested on the to-be-remembered material, a phenomenon known as the testing effect.
Robin Sohlberg +2 more
doaj +1 more source
Effect of data encoding on the expressive power of variational quantum-machine-learning models [PDF]
Physical Review A, 2020 Quantum computers can be used for supervised learning by treating parametrised quantum circuits as models that map data inputs to predictions. While a lot of work has been done to investigate practical implications of this approach, many important ...
M. Schuld +2 more
semanticscholar +1 more source
music-encoding/music-encoding: MEI 5.0
, 2023 About version 5.0 Release 5.0 of MEI focuses primarily on the guidelines, development infrastructure, and consistency, with only limited changes to the specifications.
Fujinaga, Ichiro +26 more
core +1 more source
Frontiers in Psychology, 2019 Prior studies on language processing in aging have shown that older adults experience integration difficulties for contextually unpredictable target words (as indicated by low cloze probabilities in prior ratings), and that such comprehension ...
Katja I. Häuser +5 more
doaj +1 more source
Re-ranking Person Re-identification with k-Reciprocal Encoding [PDF]
Computer Vision and Pattern Recognition, 2017 When considering person re-identification (re-ID) as a retrieval process, re-ranking is a critical step to improve its accuracy. Yet in the re-ID community, limited effort has been devoted to re-ranking, especially those fully automatic, unsupervised ...
Zhun Zhong +3 more
semanticscholar +1 more source
MEI: The Music Encoding Initiative Guidelines (PDF)
, 2023 <p><strong>PDF versions of the Music Encoding Initiative Guidelines</strong></p><p> </p><p><a href="https://doi.org/10.5281/zenodo.10040258"><strong>5.0</strong></a><strong> <
Music Encoding Initiative
core +1 more source
Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation [PDF]
Computer Vision and Pattern RecognitionWe introduce Janus, an autoregressive framework that unifies multimodal understanding and generation. Prior research often relies on a single visual encoder for both tasks, such as Chameleon.
Cheng-Yue Wu +10 more
semanticscholar +1 more source
Context Encoding for Semantic Segmentation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Recent work has made significant progress in improving spatial resolution for pixelwise labeling with Fully Convolutional Network (FCN) framework by employing Dilated/Atrous convolution, utilizing multi-scale features and refining boundaries.
Hang Zhang +6 more
semanticscholar +1 more source
A review of location encoding for GeoAI: methods and applications [PDF]
International Journal of Geographical Information Science, 2021 A common need for artificial intelligence models in the broader geoscience is to encode various types of spatial data, such as points, polylines, polygons, graphs, or rasters, in a hidden embedding space so that they can be readily incorporated into deep
Gengchen Mai +7 more
semanticscholar +1 more source