Traditional manifold learning algorithms often bear an assumption that the local neighborhood of any point on embedded manifold is roughly equal to the tangent space at that point without considering the curvature. The curvature indifferent way of manifold processing often makes traditional dimension reduction poorly neighborhood preserving. To overcome this drawback we propose a new algorithm ...

The first step is to construct a class of skew-circular one-to-one threshold transformations of the Boolean n-space having single cycles of length 2n by means of [ ]representations. Then 2n-dimensional threshold transformations having single 2n-cycle attractors are constructed through expansion and neighborhood functions. The construction of ndimensional transformations having single 2n-cycle a...

In this paper, a novel subspace learning method called neighborhood discriminant embedding (NDE) is proposed for pattern classification. In our algorithm, the neighbor and class relations of training samples data are used to construct the low-dimensional embedding submanifold. After being embedding into a low-dimensional subspace, in a local structure, samples from the same class will be as clo...

Sport scheduling is a trending research topic in operations research. Local search heuristics are among the most effective methods to construct schedules. Prior studies have noted the existance of non-connectivity in neighborhoods used in local search heuristics for single round-robin tournament scheduling. This non-connectivity affects the performance of local search heuristics. It is well-kno...

We consider robust recursive filtering in the case of a linear, finite-dimensional and timediscrete state-space model with Euclidean state space. Insisting on recursivity for computational reasons, we come up with a new procedure, the rLS-filter, using a Huberized correction-step in the Kalman-filter recursions. Simulation results for ideal and contaminated data indicate that this procedure ach...

Sex differences in vowel acoustics were found to be mediated by words' frequency of use and phonological neighborhood density. Larger sex differences in vowel-space expansion were found for words with high frequency of use and for words with small phonological neighborhoods, than for words than for words with low frequency of use and high neighborhood density. Results suggest that talkers' prod...

OBJECTIVE Neighborhood characteristics may be important for promoting walking, but little research has focused on older adults, especially those with cognitive impairment. We evaluated the role of neighborhood characteristics on cognitive function and decline over a 2-year period adjusting for measures of walking. METHOD In a study of 64 older adults with and without mild Alzheimer's disease ...

OBJECTIVE To examine the impact of neighborhood disorder, perceived neighborhood safety, and availability of recreational facilities on prevalence of physical activity (PA), obesity, and diabetes mellitus (DM). STUDY DESIGN AND SETTING Multilevel analyses were conducted among 2,848 respondents from the 2007-08 Jamaica Health and Lifestyle Survey. Neighborhood effects were based on aggregated ...

In this paper, we establish the relationships between spaces with a compact-countable weak-base and spaces with various compact-countable networks, and give two mapping theorems on spaces with compact-countable weakbases. Weak-bases and g-first countable spaces were introduced by A.V.Arhangel’skii [1]. Spaces with a point-countable weak-base were discussed in [5,6], and spaces with a locally co...

The measurement of spatial segregation has often used measures such as the Neighborhood Sorting Index (NSI) or the Index of Dissimilarity (D) that do not take full account of space. We propose a Generalized Neighborhood Sorting Index (GNSI), an extension of NSI, in which each neighborhood is part of a broader community, the extent of which can be easily changed by increasing the order of contig...