Anm-ary tree(aka k–ary tree) is a tree in which each node has no more thanmchildren. Each node of an m–ary tree has an array for storing pointers to each of its children. The binary tree and the ternary tree are special cases of the m–ary tree wherem = 2andm = 3. Consid...
In this work, we propose a linked-node m-ary tree (LM-tree) algorithm, which works really well for both exact and approximate nearest neighbor search. The main contribution of the LM-tree is three-fold. First, a new polar-space-based method of data decomposition is presented to construct...
摘要: Random forest (RF) is a supervised, ensemble of decision trees method. Each decision tree recursively partitions the feature space into two disjoint sub-regions using axis parallel splits until each...关键词: Classification Ensemble method Hyperspectral imaging Random forest ...
The Null Pointer Theorem states that given a regular n-ary tree, the number of nodes m is related to the number of null pointers p in the following way: p = (n - 1)×m + 1 Proof It is obvious that the number of pointers = n×m. Moreover, the fact that each node is point...
log 2 M bits to a data fusion center (DFC). However, it is possible for less than log 2 M bits to be available, and in this study we consider 1-bit local detectors with M > 2. We develop conditions for asymptotic detection of the correct hypothesis by the DFC, formulate the ...
In this work, we propose a linked-node m-ary tree (LM-tree) algorithm, which works really well for both exact and approximate nearest neighbor search. The main contribution of the LM-tree is three-fold. First, a new polar-space-based method of data decomposition is presented to construct...