This study proposed an approach to retrieve images based on texture features using GLCM and image subblocks. Each image is divided into three rows and three columns with equal sizes. Texture features are extracted based on GLCM (Gray Level Co-occurrence Matrix) using four statistical features that is contrast, homogeneity, energy and correlation. The features are calculated in four directions (...

Ranking measure is of prime importance in anomaly detection tasks because it is required to rank the instances from the most anomalous to the most normal. This paper investigates the underlying assumptions and definitions used for ranking in existing anomaly detection methods; and it has three aims: First, we show evidence that the two commonly used ranking measures—distance and density—cannot ...

Using the exact home addresses and the complete high school application records, I estimate neighborhood impact on high school choices in the New York city. The identification of neighborhood interaction effects rely on variation across census blocks within block groups. With the assumption that blocks within a block group are formed roughly randomly with respect to household attributes, I find...

In this paper, we propose three new tensor decompositions for even-order tensors corresponding respectively to the rank-one decompositions of some unfolded matrices. Consequently such new decompositions lead to three new notions of (even-order) tensor ranks, to be called the M-rank, the symmetric M-rank, and the strongly symmetric M-rank in this paper. We discuss the bounds between these new te...

Whole genome amplification (WGA) offers a means to enrich DNA quantities for epidemiologic studies. We used an ovarian cancer study of 1,536 single nucleotide polymorphisms (SNPs) and 2,368 samples to assess performance of multiple displacement amplification (MDA) WGA using an Illumina GoldenGate BeadArray. Initial screening revealed successful genotyping for 93.4% of WGA samples and 99.3% of g...

xml query languages use directional path expressions to locate data in an xml data collection. They are tightly coupled to the structure of a data collection, and can fail when evaluated on the same data in a different structure. This paper extends path expressions with a new non-directional axis called the rank-distance axis. Given a context node and two parameters, α and β , the rank-distance...

This paper is concerned with rank aggregation, which aims to combine multiple input rankings to get a better ranking. A popular approach to rank aggregation is based on probabilistic models on permutations, e.g., the Luce model and the Mallows model. However, these models have their limitations in either poor expressiveness or high computational complexity. To avoid these limitations, in this p...

The Canberra distance is the sum of absolute values of the differences between ranks divided by their sum, thus it is a weighted version of the L1 distance. As a metric on permutation groups, the Canberra distance is a measure of disarray for ranked lists, where rank differences in top positions need to pay higher penalties than movements in the bottom part of the lists. Here we describe the di...

Language phenomena related to the use of impoliteness strategies are always associated with efforts do FTA. This study aims find out role context theory (power, distance, and rank imposition) in various language Sukoharjo traditional markets. pragmatic research by reviewing three dimensions is descriptive qualitative research. The data form direct speech between sellers buyers which accommodate...

abstract fars province with a share of more than 16 percent holds the highest rank in producing tomato in iran. this study aims at determining priorities for tomato processing centers in fars province’s townships. to achieve the study objective a distance minimizing pattern was used for transportation network between producing and processing centers as well as processing and consumption centers...