A simple algorithm for nearest neighbor search in high dimensions
IEEE Transactions on pattern analysis and machine …, 1997 - ieeexplore.ieee.org
The problem of finding the closest point in high-dimensional spaces is common in pattern
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
[引用][C] A simple algorithm for nearest neighbor search in high dimensions
SA Nene, SK Nayar - IEEE Transactions on Pattern Analysis and …, 1997 - cir.nii.ac.jp
A simple algorithm for nearest neighbor search in high dimensions | CiNii Research CiNii 国立
情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす …
情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす …
[PDF][PDF] A Simple Algorithm for Nearest Neighbor Search in High Dimensions
SA Nene, SK Nayar - IEEE TRANSACTIONS ON PATTERN …, 1997 - academia.edu
The problem of finding the closest point in high-dimensional spaces is common in pattern
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
A Simple Algorithm for Nearest Neighbor Search in High Dimensions
SA Nene, SK Nayar - IEEE Transactions on Pattern Analysis and …, 1997 - dl.acm.org
The problem of finding the closest point in high-dimensional spaces is common in pattern
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
[PDF][PDF] A Simple Algorithm for Nearest Neighbor Search in High Dimensions
SA Nene, SK Nayar - IEEE TRANSACTIONS ON PATTERN ANALYSIS …, 1997 - Citeseer
The problem of finding the closest point in high-dimensional spaces is common in pattern
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
[PDF][PDF] A Simple Algorithm for Nearest Neighbor Search in High Dimensions
SA Nene, SK Nayar - IEEE TRANSACTIONS ON PATTERN …, 1997 - cave.cs.columbia.edu
The problem of finding the closest point in high-dimensional spaces is common in pattern
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
A Simple Algorithm for Nearest Neighbor Search in High Dimensions
SA Nene, SK Nayar - IEEE Transactions on Pattern Analysis & …, 1997 - computer.org
The problem of finding the closest point in high-dimensional spaces is common in pattern
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
[PDF][PDF] A Simple Algorithm for Nearest Neighbor Search in High Dimensions
SA Nene, SK Nayar - IEEE TRANSACTIONS ON PATTERN …, 1997 - scholar.archive.org
The problem of finding the closest point in high-dimensional spaces is common in pattern
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …
recognition. Unfortunately, the complexity of most existing search algorithms, such as kd tree …