Non-Overlapping Data Points (NDP)
Inference of Non-Overlapping Camera Network Topology using Statistical Approaches
... entry/exit points of each camera FOV from the observation detection phase are clustered into general ...the Data Spectroscopy method or DaSpec ...entry/exit points in their general means when they ...
67
Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks
... study non-stationary properties of spatial correlation structure 18–20,22 ...temporally overlapping activity patterns, and are subsequently clustered in time; that is, transients occurring at different time ...
10
Non Gaussianity and cross scale coupling in interplanetary magnetic field turbulence during a rope–rope magnetic reconnection event
... of data points inside the window should be large enough to guarantee the robust estimation of S and ...of data points, then the number of (S, K) values may be insufficient to verify the ...
11
Fixed points for non surjective expansion mappings
... Common fixed point theorems on expansion type mappings on complete metric spaces, Math.. A unified approach for all contractive mappings, Ist.[r] ...
12
Benchmarking Facebook's Prophet, PELT and Twitter's Anomaly detection and automated de ployment to cloud
... The main goal of the thesis is to conduct a benchmark, to compare the per- formance of the frameworks. First step is to prepare the data, with known anomalies and changepoints. Different types of datasets are ...
94
Utilization and Costs Data Points #5
... For each study year, claims were extracted from the CWF. The principal (i.e., first-listed) diagnosis on each claim was identified and placed into each of four diagnostic groupings of increasing granularity: (1) ICD-9 ...
10
Fixed points and orbits of non-convolution operators
... Thus, we complete the results of Aron and Markose [] and Fernández and Hallack [] characterizing when Tλ ,b ( λ , b ∈ C ) is hypercyclic.. Let us denote by HC ( T ) the set of hypercyc[r] ...
5
SEGMENTAL ANEUPLOIDY AND THE GENETIC GROSS STRUCTURE OF THE DROSOPHILA GENOME
... A set of Y-autosome translocations with appropriately positioned break- points, therefore, can in principle be used to generate a non-overlapping set of deficiencies and du[r] ...
29
The analytic SVD: On the non-generic points on the path
... Abstract. A new technique for computing the Analytic SVD is proposed. The idea is to follow a branch of just one simple singular value and the corresponding left/right singular vector. Numerical computation may collapse ...
17
Non-Destructive Determination of Magnetic Audio Tape Degradation for Various Tape Chemistries Using Spectroscopy and Chemometrics
... There are over 4.8 billion artifacts housed in various U.S. archives, libraries, and scientific institutions, encompassing rare books, art, artifacts, and magnetic audio tapes. The preservation of magnetic audio tapes is ...
95
Model selection and model averaging in the presence of missing values
... for non-linear regression and small samples, are easy to ...traditional non-Bayesian variable selection for multiply-imputed data because this has the greatest practical relevance to most data ...
234
Genomic and Transcriptomic Characterization of the New Human Glioblastoma Cell Line AHOL1
... genomics data generated from next-generation sequencing have motivated investigators to develop novel computational approaches for the identification of new druggable genes, which can be used as therapeutic ...
31
Support Vector Machines for Classification and Mapping of Reservoir Data
... provides non-linear classification by mapping the input space into high-dimensional feature space using kernel functions, where the maximal separating margins are ...a data-dependent ...
30
Filling Space with Random Fractal Non-Overlapping Simple Shapes
... A related area of geometry is that of "packings" -- incomplete or maximally-dense filling of a region by circles and other simple shapes. Circle packings alone have a large mathematical literature. The usual rule ...
10
Entropy Based Subword Mining with an Application to Word Embeddings
... Recent literature has shown a wide vari- ety of benefits to mapping traditional one- hot representations of words and phrases to lower-dimensional real-valued vectors known as word embeddings. Traditionally, most word ...
10
A Modified Overlapping Partitioning Clustering Algorithm for Categorical Data Clustering
... smart non-center document selection were ...of non-center documents using the smart method which utilize higher CRF value resulted in satisfactory ...
8
An Enhanced Spectral Clustering for Overlapping Data in Multiple Task Clustering
... Xiang and Gong [15] have proposed a novel spectral clustering algorithm for determining the number of clusters, the relevance learning method which measures the relevance of an eigenvector according to separate the ...
7
A Study on the Impact of Ethical Behaviour of Firms on Global Competitiveness Ranking
... This type of methods finds the matching information by calculating the maximum similarity of intensity patterns between the sensed image and the reference image with a specified similarity metric, for example, sequential ...
6
Title: Intelligent Based Imputation Methods for Text Mining Applications to Phishing Attacks
... Missing data creates serious issues in various applications like statistics, data mining and machine learning and ...proposed data imputation ...textual data is modified to structural ...
5
Unraveling temporal processes using probabilistic graphical models
... Nowadays, a significant portion of the population has more than one chronic disease at the same time, which is known as the problem of multimorbidity. Better understanding multimorbidity is hindered by the fact that most ...
191