I am Jarrett Ye, the principal author of the papersA Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition SchedulingandOptimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory. I am currently working at MaiMemo Inc., where I am chiefly responsible...
First is estimation of the bias field followed by either division or addition in the image domain. Most algorithms are based on simplified mathematical models to avoid equations having intractable solutions. They assume smoothly varying multiplicative bias field for different ranges of magnetic field ...
By using the addition of Euclidean distance to calculate the measurement between objects, the framework allowed for good adaptation to appearance changes, but the complexity of the network decided the computational efficiency. Paired with a region-based appearance model, an LSTM based pose model was ...
Several algorithms have been developed for the similar task of unsupervised phase inference for cell cycle analysis using scRNA-seq data13,14,15,16. However, the circadian cycle and cell cycle differ in two notable ways. First, while hundreds of “core” genes are known to oscillate over the...
378.Kth-Smallest-Element-in-a-Sorted-Matrix (H-) 373.Find-K-Pairs-with-Smallest-Sums (H) 668.Kth-Smallest-Number-in-Multiplication-Table (H-) 719.Find-Kth-Smallest-Pair-Distance (H-) 1918.Kth-Smallest-Subarray-Sum (M+) 2040.Kth-Smallest-Product-of-Two-Sorted-Arrays (H-) 1439.Find...
Below is the code implementation using Python, divided into two parts. In the first part we split our matrices into smaller matrices and in other functions we perform Strassen’s method of operation, which we see in the above formula of scalar addition and subtractions of the scalar. 1 2 ...
In addition, this article systematically describes the attribute characteristics and action patterns of multiple types of key figures. This can reveal the complex relationship between the subject of public opinion and the development trend of public opinion events. At the same time, this can also ...
In addition, we found that robust detection algorithm tends to have a higher accuracy score but a lower recall score, while feature detection algorithm tends to have the converse performance. Moreover, since the proposed collaborative detection method combines the advantages of the robust detection ...
The choice of optimization algorithm depends on the problem characteristics, computational resources, and desired trade-offs between solution quality and computational efficiency [20]. In addition, optimization has diverse applications across various domains, such as engineering design, operations management,...
In addition to stochastic and min-cut placement methods, another category includes analytic-based placers where an appropriate cost function is optimized for a specific single objective or multiple objectives through a combination of diverse optimization methods. The cost functions can be, in general,...