نتایج جستجو برای: upper outlier
تعداد نتایج: 211624 فیلتر نتایج به سال:
PURPOSE There is a clear need to improve risk stratification and to identify novel therapeutic targets in aggressive prostate cancer. The goal of this study was to investigate genes with outlier expression with prognostic association in high-risk prostate cancer patients as potential biomarkers and drug targets. EXPERIMENTAL DESIGN We interrogated microarray gene expression data from prostate...
In their paper, Davies and Gather (1993) formalized the task of outlier identiica-tion, considering also certain performance criteria for outlier identiiers. One of those criteria, the maximum asymptotic bias, is carried over here to multivariate outlier identiiers. We show how this term depends on the respective biases of estimators which are used to construct the identiier. It turns out that ...
Outlier detection in mixed attribute datasets has proved to be a challenging task required in real world applications. Most existing algorithms for outlier detection do not consider the interactions between categorical and numerical attributes. The Pattern based Outlier Detection (POD) algorithm (Zhang & Jin, 2011), has had considerable success in the detecting outliers by analysing such intera...
Detecting outliers from high-dimensional data is a challenge task since outliers mainly reside in various lowdimensional subspaces of the data. To tackle this challenge, subspace analysis based outlier detection approach has been proposed recently. Detecting outlying subspaces in which a given data point is an outlier facilitates a better characterization process for detecting outliers for high...
We propose a unified framework for making a wide range of PCA-like algorithms – including the standard PCA, sparse PCA and non-negative sparse PCA, etc. – robust when facing a constant fraction of arbitrarily corrupted outliers. Our analysis establishes solid performance guarantees of the proposed framework: its estimation error is upper bounded by a term depending on the intrinsic parameters o...
We present a novel algorithm based on “loop constraints” for assembling non-overlapping square-piece jigsaw puzzles where the rotation and the position of each piece are unknown. Our algorithm finds small loops of puzzle pieces which form consistent cycles. These small loops are in turn aggregated into higher order “loops of loops” in a bottom-up fashion. In contrast to previous puzzle solvers ...
Outliers are very common in the environmental data monitored by a sensor network consisting of many inexpensive, low fidelity, and frequently failed sensors. The limited battery power and costly data transmission have introduced a new challenge for outlier cleaning in sensor networks: it must be done innetwork to avoid spending energy on transmitting outliers. In this paper, we propose an in-ne...
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