effective nearest neighbor search method
OPRCP: approximate nearest neighbor binary search algorithm for hybrid data over WMSN blockchain
... to search WMSN data efficiently over blockchain ...(OPRCP) method of approximate nearest neighbor binary query for querying binary hybrid data in the form of WMSN multimedia data (containing ...
14
Analysis on Fast Nearest Neighbor Search with Keywords
... keyword search in relational ...best method to date for nearest neighbor search with keywords is due to Felipe et ...an effective method for keyword-based document ...
5
Keyword Search for Quick Finding of Nearest Neighbor
... index method and do query processing with ...an effective method to record gaps between consecutive IDs when compared with precise ...gap-keeping method stores values such as {2, 1, 3, 2} ...
7
Fast Nearest Neighbor Search With Keywords
... It can be verified that the algorithm must read all the nodes of the tree, and fetch the documents of p2, p4, and p6 (in this order). The final answer is p6, while p2 and p4 are false hits. Based on Inverted ...
7
Survey of Efficient and Fast Nearest Neighbor Search For Spatial Query on Multidimensional Data
... keyword search with reverse nearest neighbor query, hybrid indexing structure bR*-tree, efficient method to answer top-k spatial keyword query, computing the relevance between the documents of ...
10
Quick Search of the Nearest Neighbor with Words
... best method to date for nearest neighbor search with keywords is due to Felipe et ...an effective method for keyword-based document ...
5
The Mutual Nearest Neighbor Method in Functional Nonparametric Regression
... k-nearest neighbor (kNN) is one of the most famous nonparametric ...mutual nearest neighbors (MNN) method is a variant of kNN ...mutual nearest neighbors rather than k-nearest ...
9
SProt: sphere-based protein structure similarity algorithm
... From the description of LAESA (step 3c) it follows that the speed-up is directly proportional to the number of objects eliminated during the query process. It has been shown [26] that the elimination ability ...
12
Nearest Neighbor Search with Anytime Clustering Method
... k nearest neighbors is ...K nearest neighbors on large-scale datasets. DIMO presents a novel method for partitioning, searching, and storing high-dimensional datasets on distributed infrastructures ...
6
Side-view Face Detection Using Automatic Landmarks
... Abstract- The last few years have seen an increase in the growth of face recognition for computer aided identification. Many of the processes and products developed are applicable to frontal face images only. The ...
8
A Short Term Traffic Flow Forecasting Method Based on a Three Layer K Nearest Neighbor Non Parametric Regression Algorithm
... K-nearest neighbor non parametric regression method is proved to be a reliable method for short-term traffic flow forecasting [3] [4], which can favorably reflect the traffic flow’s ...
7
Retrieving Datasets with Nearest Neighbor Search using Spatial Queries
... geographic search engine has been receiving a lot of attention from ...conventional search engines, In order to quickly return documents of high relevance in both textual and spatial aspects to a given ...
6
A Deterministic K means Algorithm based on Nearest Neighbor Search
... using nearest neighbor search for computing suitable initial clusters centroids instead of random ones, then apply k-means procedure to refine the ...
5
k-Expected Nearest Neighbor Search over Gaussian Objects
... distance-based nearest neighbor search, which finds closest objects to a given query point, has extensive applications in various ...extend nearest neighbor search over ...
11
Presentation of a Parallel Algorithm for Nearest Neighbor Search on GPU Using CUDA
... the case of high volumes data. graphics processing unit(gpu) contains hundreds parallel processor core that can simultaneously manage thousands of threads. The purpose of the gpu creation is to effectively fulfillment ...
5
A Semantic Distance Based Nearest Neighbor Method for Image Annotation
... NN-based method which improves the performance of large scale images annotation by greatly reducing the semantic information ...our method and Boiman's method [12] is that, we still use bag of visual ...
7
William_Wiener_Biology_Honors_Thesis.pdf
... Leader-follower interactions have also been identified in swifts. In a study of swift cooperation and competition during the instances leading up to chimney entry, swifts flying in succession would use similar angles of ...
22
Improving nearest neighbor classifier using tabu search and ensemble distance metrics
... The nearest-neighbor (NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining ...k nearest neighbors of a unknown sample in the training set are computed ...
9
Evaluation Accuracy of Nearest Neighbor Sampling Method in Zagross Forests
... the nearest neighbor sampling method is a suitable method to study the spatial pattern in the Zagros forest and Byth and Riple equation has a more application in this study ...
10
Title: A Practical Approach to Faster Spatial Queries with Keywords
... new method for professional neighboring state look for in a set of high-dimensional ...Our method is based on the precipitation of the solution freedom of any chance „nearest neighbor ...our ...
8