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Research on a fast self-healing control method for tie-line faults in regional distribution networks based on source-load-storage interaction. [PDF]
Zhou C, Gui S, Gao G, Liu C, Ma Y.
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CMAP-Fusion: A cross-modal feature selection and model pruning framework for laboratory and imaging data. [PDF]
Liu C, Yang L, Lei J.
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Targeting the Complement-Microglia Axis for Neuroprotection in Pediatric Epilepsy. [PDF]
Karayanni M +6 more
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A new strategy for skeleton pruning
Pattern Recognition Letters, 2016A new pruning algorithm is introduced to simplify the structure of the skeleton of 2D objects, without affecting significantly the representative power of the skeleton. The concatenations of skeleton branches originating from the end points of the skeleton are examined while building a hierarchical skeleton structure.
Luca Serino, Gabriella Sanniti di Baja
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Pruning strategies for mixed-mode querying
Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06, 2006Web information retrieval systems face a range of unique challenges, not the least of which is the sheer scale of the data that must be handled. Also specific to web retrieval is that queries may be a mix of Boolean and ranked features, and documents may have static score components that must also be factored into the ranking process.
Vo Ngoc Anh, Alistair Moffat
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Prune Strategy to YOLO-Based Model
2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI), 2020One-stage networks have been widely used in target detection systems that need to learn from the big data. Most of them have good real-time performance and accuracy. However, due to their convolution structure, in actual applications, they still require more memory space and stronger computing power, thereby we choose to apply a pruning strategy on the
Boyu Zhao +3 more
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Pruning strategies for the MTiling constructive learning algorithm
Proceedings of International Conference on Neural Networks (ICNN'97), 2002We present a framework for incorporating pruning strategies in the MTiling constructive neural network learning algorithm. Pruning involves elimination of redundant elements (connection weights or neurons) from a network and is of considerable practical interest.
Rajesh Parekh +2 more
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An empirical comparison of pruning strategies in game trees
IEEE Transactions on Systems, Man, and Cybernetics, 1985Size pruning strategies on uniform and nonuniform game trees of 24 different sizes, each being assigned leaf-node static values under four different schemes, are compared. The performance of these strategies is compared on the basis of nodes created, node visits, and CPU time.
Agata Muszycka, Rajjan Shinghal
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Specification Issues and Pruning Strategies
1998In this chapter, several issues concerning input specification representation and preprocessing steps for the actual DTSE methodology will be briefly discussed. These issues become much more complex when applied to practical designs, but in the scope of the book they cannot be presented in more detail.
Francky Catthoor +5 more
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