Results 11 to 20 of about 1,445,591 (343)
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning [PDF]
International Conference on Learning Representations, 2022 Semi-supervised Learning (SSL) has witnessed great success owing to the impressive performances brought by various methods based on pseudo labeling and consistency regularization.
Yidong Wang +8 more
semanticscholar +1 more source
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling [PDF]
AAAI Conference on Artificial Intelligence, 2020 Document-level relation extraction (RE) poses new challenges compared to its sentence-level counterpart. One document commonly contains multiple entity pairs, and one entity pair occurs multiple times in the document associated with multiple possible ...
Wenxuan Zhou +3 more
semanticscholar +1 more source
Thresholds and Expectation Thresholds [PDF]
Combinatorics, Probability and Computing, 2007 We consider relations between thresholds for monotone set properties and simple lower bounds for such thresholds. A motivating example (Conjecture 2): Given an n-vertex graph H, write pE for the least p such that, for each subgraph H' of H, the expected number of copies of H' in G=G(n, p) is at least 1, and pc for that p for which the probability that ...
Jeff Kahn, Gil Kalai
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A Singular Value Thresholding Algorithm for Matrix Completion [PDF]
SIAM Journal on Optimization, 2008 This paper introduces a novel algorithm to approximate the matrix with minimum nuclear norm among all matrices obeying a set of convex constraints. This problem may be understood as the convex relaxation of a rank minimization problem and arises in many ...
Jian-Feng Cai, E. Candès, Zuowei Shen
semanticscholar +1 more source
FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging [PDF]
IEEE Transactions on Medical Imaging, 2020 Inverse problems are essential to imaging applications. In this letter, we propose a model-based deep learning network, named FISTA-Net, by combining the merits of interpretability and generality of the model-based Fast Iterative Shrinkage/Thresholding ...
Jinxi Xiang, Yonggui Dong, Yunjie Yang
semanticscholar +1 more source
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding [PDF]
Knowledge Discovery and Data Mining, 2018 As spacecraft send back increasing amounts of telemetry data, improved anomaly detection systems are needed to lessen the monitoring burden placed on operations engineers and reduce operational risk.
K. Hundman +4 more
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An iterative thresholding algorithm for linear inverse problems with a sparsity constraint [PDF]
, 2003 We consider linear inverse problems where the solution is assumed to have a sparse expansion on an arbitrary preassigned orthonormal basis. We prove that replacing the usual quadratic regularizing penalties by weighted 𝓁p‐penalties on the coefficients of
I. Daubechies, M. Defrise, C. D. Mol
semanticscholar +1 more source
Processes, 2021 One of the most crucial aspects of image segmentation is multilevel thresholding. However, multilevel thresholding becomes increasingly more computationally complex as the number of thresholds grows. In order to address this defect, this paper proposes a
L. Abualigah +3 more
semanticscholar +1 more source
Threshold Regression With a Threshold Boundary
Journal of Business & Economic Statistics, 2020 This article studies computation, estimation, inference, and testing for linearity in threshold regression with a threshold boundary. We first put forward a new algorithm to ease the computation of the threshold boundary, and develop the asymptotics for the least squares estimator in both the fixed-threshold-effect framework and the small-threshold ...
Ping Yu, Xiaodong Fan
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Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding [PDF]
2019 IEEE Intelligent Vehicles Symposium (IV), 2019 Crack is one of the most common road distresses which may pose road safety hazards. Generally, crack detection is performed by either certified inspectors or structural engineers. This task is, however, time-consuming, subjective and labor-intensive.
Rui Fan +7 more
semanticscholar +1 more source