Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Abstract: This letter improves the computational efficiency and proposes a methodology to retrieve the missing feature pairs when utilizing binary-based features for image matching. The 64-byte ...

Abstract: In this paper, we explore the texture representation at high scale levels for the application of tree bark identification. We mainly propose an Improved Statistical Radial Binary Pattern ...

"It appears to be related to the classic drumming with hands or feet on hollow buttress roots, which chimpanzees use to convey information ... of a stone striking a tree make that feasible in ...

🌳 This repository is dedicated to the Binary Search Tree (BST) data structure, featuring a comprehensive demo of all its functionalities including insertion, deletion, search, and traversal ...