Results 51 to 60 of about 7,775,419 (309)
Bias in physics peer recognition does not explain gaps in perceived recognition [PDF]
, 2023 Gaining recognition as a physics person by peers is an important contributor to undergraduate students' physics identity and their success in physics courses. Previous research has separately demonstrated that women perceive less recognition from peers than men in their physics courses (perceived recognition) and that women receive fewer nominations ...
arxiv +1 more source
Duaal processes in recognition and in recognition failure [PDF]
Memory & Cognition, 1984 It is argued that adherence of the results of experiments in the recognition failure paradigm to the function observed by Tulving and Wiseman (1975) reflects the operation of two distinct processes in recognition similar to those described by Mandler (1979, 1980).
openaire +4 more sources
Strongly Refuting Random CSPs Below the Spectral Threshold
, 2016 Random constraint satisfaction problems (CSPs) are known to exhibit threshold phenomena: given a uniformly random instance of a CSP with $n$ variables and $m$ clauses, there is a value of $m = \Omega(n)$ beyond which the CSP will be unsatisfiable with ...
Daniely Amit +5 more
core +1 more source
A Closer Look at Spatiotemporal Convolutions for Action Recognition [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 In this paper we discuss several forms of spatiotemporal convolutions for video analysis and study their effects on action recognition. Our motivation stems from the observation that 2D CNNs applied to individual frames of the video have remained solid ...
Du Tran +5 more
semanticscholar +1 more source
International Journal of Biomedical Imaging, 2017 We improve data extrapolation for truncated computed tomography (CT) projections by using Helgason-Ludwig (HL) consistency conditions that mathematically describe the overlap of information between projections. First, we theoretically derive a 2D Fourier
Yan Xia +5 more
doaj +1 more source
Object Recognition: Complexity of Recognition Strategies [PDF]
Current Biology, 2018 Primate brains and state-of-the-art convolutional neural networks can recognize many faces, objects and scenes, though how they do so is often mysterious. New research unveils some of the mystery, revealing unexpected complexity in the recognition strategies of rodents.
openaire +4 more sources
Using recognition-induced forgetting to assess forgetting of racial minority faces [PDF]
, 2020 Recognition-induced forgetting is a forgetting effect whereby items held in visual long-term memory are forgotten as a consequence of recognizing other items of the same category.
Spinelli, Emily
core
Auxiliary Truncated Unscented Kalman Filtering for Bearings-Only Maneuvering Target Tracking
Sensors, 2017 Novel auxiliary truncated unscented Kalman filtering (ATUKF) is proposed for bearings-only maneuvering target tracking in this paper. In the proposed algorithm, to deal with arbitrary changes in motion models, a modified prior probability density ...
Liang-Qun Li +3 more
doaj +1 more source
Exploring Misclassification Information for Fine-Grained Image Classification
Sensors, 2021 Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy.
Da-Han Wang +4 more
doaj +1 more source
Deep Learning for Iris Recognition: A Review [PDF]
arXiv, 2023 Iris recognition is a secure biometric technology known for its stability and privacy. With no two irises being identical and little change throughout a person's lifetime, iris recognition is considered more reliable and less susceptible to external factors than other biometric recognition methods.
arxiv