Search Results - "Fukunaga, Keinosuke"

Introduction to statistical pattern recognition: Keinosuke Fukunaga by Fukunaga, Keinosuke

Get more information

Estimation of the Parameters of a Gaussian Mixture Using the Method of Moments by Fukunaga, Keinosuke, Flick, Thomas E.

“…Given a general n-dimensional bimodal Gaussian mixture, this paper shows how unknown parameters may be found by the method of moments. Three cases are…”
Get full text

A Nonparametric Two-Dimensional Display for Classification by Fukunaga, Keinosuke, Mantock, James M.

“…A two-dimensional display whose coordinates are related to the distance to the kth-nearest neighbor of each class is presented. Applications of the display to…”
Get full text

Feature Extraction Using Problem Localization by Short, Robert D., Fukunaga, Keinosuke

“…Feature extraction is considered as a mean-quare estimation of the Bayes risk vector. The problem is simplified by partitioning the distribution space into…”
Get full text

Effects of sample size in classifier design by Fukunaga, K., Hayes, R.R.

“…The effect of finite sample-size on parameter estimates and their subsequent use in a family of functions are discussed. General and parameter-specific…”
Get full text

Bayes Error Estimation Using Parzen and k-NN Procedures by Fukunaga, Keinosuke, Hummels, Donald M.

“…The use of k nearest neighbor (k-NN) and Parzen density estimates to obtain estimates of the Bayes error is investigated under limited design set conditions…”
Get full text

A Branch and Bound Algorithm for Feature Subset Selection by Narendra, Fukunaga

“…A feature subset selection algorithm based on branch and bound techniques is developed to select the best subset of m features from an n-feature set. Existing…”
Get full text

Estimation of classifier performance by Fukunaga, K., Hayes, R.R.

“…An expression for expected classifier performance previously derived by the authors (ibid., vol.11, no.8, p.873-855, Aug. 1989) is applied to a variety of…”
Get full text

Leave-one-out procedures for nonparametric error estimates by Fukunaga, K., Hummels, D.M.

“…The use of nonparametric error estimates may lead to biased results if the kernel covariances are estimated from the same data as are used to form the error…”
Get full text

The estimation of the gradient of a density function, with applications in pattern recognition by Fukunaga, K., Hostetler, L.

“…Nonparametric density gradient estimation using a generalized kernel approach is investigated. Conditions on the kernel functions are derived to guarantee…”
Get full text

The reduced Parzen classifier by Fukunaga, K., Hayes, R.R.

“…The Parzen density estimate is known to be an effective tool for estimating the Bayes error, given a set of training samples from the class distributions. An…”
Get full text

Bias of Nearest Neighbor Error Estimates by Fukunaga, Keinosuke, Hummels, Donald M.

“…The bias of the finite-sample nearest neighbor (NN) error from its asymptotic value is examined. Expressions are obtained which relate the bias of the NN and…”
Get full text

An Optimal Global Nearest Neighbor Metric by Fukunaga, Keinosuke, Flick, Thomas E.

“…A quadratic metric d AO (X, Y) =[(X - Y) T A O (X - Y)] 1/2 is proposed which minimizes the mean-squared error between the nearest neighbor asymptotic risk and…”
Get full text

A Branch and Bound Algorithm for Computing k-Nearest Neighbors by Fukunaga, K., Narendra, P.M.

“…Computation of the k-nearest neighbors generally requires a large number of expensive distance computations. The method of branch and bound is implemented in…”
Get full text

A Graph-Theoretic Approach to Nonparametric Cluster Analysis by Koontz, Narendra, Fukunaga

“…Nonparametric clustering algorithms, including mode-seeking, valley-seeking, and unimodal set algorithms, are capable of identifying generally shaped clusters…”
Get full text

An Algorithm for Finding Intrinsic Dimensionality of Data by Fukunaga, K., Olsen, D.R.

“…An algorithm for the analysis of multivariant data is presented along with some experimental results. The basic idea of the method is to examine the data in…”
Get full text

A Theory of Nonlinear Autonomous Sequential Nets Using z Transforms by Fukunaga, Keinosuke

Get full text

A Test of the Gaussian-ness of a Data Set Using Clustering by Fukunaga, Keinosuke, Flick, Thomas E.

“…The properties of the ``magnifying glass'' method of clustering are discussed. These properties, which include unbiased and consistent estimation of the mean…”
Get full text

Application of the Karhunen-Loève Expansion to Feature Selection and Ordering by Fukunaga, K., Koontz, W.L.G.

“…The Karhunen-Lo6ve expansion has been used previously to extract important features for representing samples taken from a given distribution. A method is…”
Get full text

Classification Error for a Very Large Number of Classes by Fukunaga, Keinosuke, Flick, Thomas E.

“…Classification error is analyzed for a situation where the number of possible classes may be on the order of a hundred or more. The error associated with…”
Get full text