نتایج جستجو برای: nearest neighbor

تعداد نتایج: 40474  

Journal: :Journal of Physics: Conference Series 2019

Journal: :Statistics & Probability Letters 2013

2005
Jigang Wang Predrag Neskovic Leon N. Cooper

The k-nearest neighbor rule is one of the simplest and most attractive pattern classification algorithms. It can be interpreted as an empirical Bayes classifier based on the estimated a posteriori probabilities from the k nearest neighbors. The performance of the k-nearest neighbor rule relies on the locally constant a posteriori probability assumption. This assumption, however, becomes problem...

Journal: :journal of computer and robotics 0
zeynab shokoohi department of electrical and computer engineering, qazvin branch, islamic azad university, qazvin, iran karim faez department of electrical engineering, amirkabir university of technology, tehran, iran

facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. in recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. as machine vision and artificial intelligence advan...

Majid Amirfakhrian Saba Sajadi

Clustering of objects is an important area of research and application in variety of fields. In this paper we present a good technique for data clustering and application of this Technique for data clustering in a closed area. We compare this method with K-nearest neighbor and K-means.  

2001
Songrit Maneewongvatana David M. Mount

Given a set S of n data points in some metric space. Given a query point q in this space, a nearest neighbor query asks for the nearest point of S to q. Throughout we will assume that the space is real d-dimensional space <d, and the metric is Euclidean distance. The goal is to preprocess S into a data structure so that such queries can be answered efficiently. Nearest neighbor searching has ap...

Journal: :Expert Syst. Appl. 2011
Loris Nanni Alessandra Lumini

The main two drawbacks of nearest neighbor based classifiers are: high CPU costs when the number of samples in the training set is high and performance extremely sensitive to outliers. Several attempts of overcoming such drawbacks have been proposed in the pattern recognition field aimed at selecting/gen-erating an adequate subset of prototypes from the training set. The problem addressed in th...

2006
Yu-Ling Hsueh Roger Zimmermann Meng-Han Yang

We study continuous K nearest neighbor queries over moving objects. LUCK stands for Lazy Update algorithm for processing Continuous K-nearest neighbor queries.

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