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...
The partition process continues recursively in each subtree until intervals of length shorter than one are left. The process terminates on such short intervals; no node is allocated when the algorithm terminates. This combinatorial construction generalizes the binary interval tree introduced in Sibuya ...
FIG. 8 shows a coding tree generated by the Huffman algorithm for a particular set of symbols. DETAILED DESCRIPTION OF THE INVENTION A method and apparatus for compression and decompression is described. In the following detailed description of the present invention numerous specific details are set...
In [20], a hierarchical structure was used to break the complex M-ary decision problem into a set of much simpler binary decision fusion problems, requiring a detector at each node of the decision tree. In [3] an architecture was studied where several binary decisions are fused into a ...
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...