binary treesassociative memoryrotating memoryNaftaly MinskyInformation Processing LettersN.H. Minsky, Representation of binary trees on associative memories, in: presented at Inf. Process. Letters, 1973.Representation of binary trees on associative memories - Minsky - 1973 () Citation Context ...2 ...
A simple, efficient algorithm is presented for the transformation of dendritic trees representations. The binary tree form significantly reduces traversal time, simplifies software for tree analysis and yields compact storage of the neuronal trees. These algorithms are easy to program and are useful in...
essentially akin to detection tasks. As a technology, machine learning enables data mapping from the original feature space to the target label space. This technique has been widely applied in the field of cybersecurity. Its primary applications include, but...
Sparse matrixes are widely used in computational electro- dynamics. This paper show that use of balanced binary search trees for memory allocation of sparse matrixes guarantees O(ln(n)) access and insertion time. Comparison with traditional hash map memory allocation method was also made and ...
Problems Using this structure to solve these problems is an overkill, but they are the only examples I got. 911G - Mass Change Queries UPD:I have implemented the memory optimization for segment trees, you can check it out here:pastebin...
In graph-level representation learning tasks, graph neural networks have received much attention for their powerful feature learning capabilities. However, with the increasing scales of graph data, how to efficiently process and extract the key information has become the focus of research. The graph ...
Memory-Efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment .[J] arXiv preprint arXiv:1702.08481. Adrian Bulat, Georgios Tzimiropoulos .Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources .[J] arXiv ...
Note that the array of strings using the string keyword has an advantage in which we have no limitations on the length of the strings in the array. Since there is no limitation, we do not waste memory space as well. On the downside, this array has a fixed size. We need to declare ...
the ratio of two numbers—correctly identified sensitive drugs and actual sensitive drugs.F1-score is a measure of binary classification accuracy and defined as the harmonic mean of the precision and recall of the classifier. Finally, AUROC is the highest AUROC curve in a plot containing multiple...
which are used to partition the image, are represented in the non-leaf nodes of the tree. Furthermore, the arbitrarily oriented lines are selected through the use of a Hough transform and the image is partitioned, along the selected lines, in a recursive manner as the binary tree is develo...