Results 21 to 30 of about 6,852,344 (341)
AUCReshaping: improved sensitivity at high-specificity
Scientific Reports, 2023 The evaluation of deep-learning (DL) systems typically relies on the Area under the Receiver-Operating-Curve (AU-ROC) as a performance metric. However, AU-ROC, in its holistic form, does not sufficiently consider performance within specific ranges of ...
Sheethal Bhat +9 more
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Palladium-catalysed formation of vicinal all-carbon quaternary centres via propargylation
Nature Communications, 2016 Formation of vicinal, quaternary stereocentres is challenging, but such products are commonly encountered in nature. Here, the authors report a palladium catalysed process to form vicinal quaternary carbons via propargylation, including in enantiopure ...
Xin Huang +5 more
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Redundant neural vision systems: competing for collision recognition roles [PDF]
, 2013 Ability to detect collisions is vital for future robots that interact with humans in complex visual environments. Lobula giant movement detectors (LGMD) and directional selective neurons (DSNs) are two types of identified neurons found in the visual ...
Rind, F. Claire, Yue, Shigang
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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
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Face recognition technologies for evidential evaluation of video traces [PDF]
, 2017 Human recognition from video traces is an important task in forensic investigations and evidence evaluations. Compared with other biometric traits, face is one of the most popularly used modalities for human recognition due to the fact that its ...
Li, Chang-Tsun, Wei, Xingjie
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A framework for forensic face recognition based on recognition performance calibrated for the quality of image pairs [PDF]
, 2012 Recently, it has been shown that performance of a face recognition system depends on the quality of both face images participating in the recognition process: the reference and the test image. In the context of forensic face recognition, this observation
Dutta, A. +4 more
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Sparse self-attention aggregation networks for neural sequence slice interpolation
BioData Mining, 2021 Background Microscopic imaging is a crucial technology for visualizing neural and tissue structures. Large-area defects inevitably occur during the imaging process of electron microscope (EM) serial slices, which lead to reduced registration and semantic
Zejin Wang +4 more
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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
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Journal of Imaging, 2017 Segmentation is one of the most important parts of medical image analysis. Manual segmentation is very cumbersome, time-consuming, and prone to inter-observer variability. Fully automatic segmentation approaches require a large amount of labeled training
Tanja Kurzendorfer +6 more
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Monocular SLAM Supported Object Recognition [PDF]
, 2015 In this work, we develop a monocular SLAM-aware object recognition system that is able to achieve considerably stronger recognition performance, as compared to classical object recognition systems that function on a frame-by-frame basis. By incorporating
Leonard, John, Pillai, Sudeep
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