Search results for "pattern"

A more distinctive representation for 3D shape descriptors using principal component analysis

2015

Many researchers have used the Heat Kernel Signature (or HKS) for characterizing points on non-rigid three-dimensional shapes and Classical Multidimensional Scaling (Classical MDS) method in object classification which we quote, in particular, the example of Jian Sun et al. (2009) [1]. However, in this paper, the main focuses on classification that we propose a concise and provably factorial method by invoking Principal Component Analysis (PCA) as a classifier to improve the scheme of 3D shape classification. To avoid losing or disordering information after extracting features from the mesh, PCA is used instead of the Classical MDS to discriminate-as much as possible-feature points for each…

Flow perturbations: a tool to study and characterize heterogeneous deformation

2005

The classification of the myriad of small-scale structures that are used in tectonic analysis is presently based on their geometry, which makes it difficult to discover transitions and groups amongst them. An alternative would be to classify structures according to the flow type by which they form, but this is difficult. Although most structures form by heterogeneous flow, modelling studies are often focussed on bulk homogeneous flow, since the mathematical treatment of heterogeneous flow is cumbersome. Also, heterogeneous deformation patterns seem to occur in as many types as there are small-scale structures. This paper introduces the use of the geometry of flow perturbations to improve ou…

Blood Congestion Can Be Rescued by Hemodilution in a Random-Pattern Skin Flap

2017

Using the Hermite Regression Algorithm to Improve the Generalization Capability of a Neural Network

1999

In this paper it is shown that the ability of classification and the ability of approximating a function are correlated to the value (in the training points) of the gradient of the output function learned by the network.

Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging.

2014

Susceptibility-weighted imaging (SWI) is recognized as the preferred MRI technique for visualizing cerebral vasculature and related pathologies such as cerebral microbleeds (CMBs). Manual identification of CMBs is time-consuming, has limited reliability and reproducibility, and is prone to misinterpretation. In this paper, a novel computer-aided microbleed detection technique based on machine learning is presented: First, spherical-like objects (potential CMB candidates) with their corresponding bounding boxes were detected using a novel multi-scale Laplacian of Gaussian technique. A set of robust 3-dimensional Radon- and Hessian-based shape descriptors within each bounding box were then ex…

ChemInform Abstract: Antimicrobial Activity Characterization in a Heterogeneous Group of Compounds.

2010

In this work we carry out a study of pattern recognition to detect the microbiological activity in a group of heterogeneous compounds. The structural descriptors utilized are the topological connectivity indexes. The methods followed are stepwise linear discriminant analysis (linear analysis) and artificial neural network (nonlinear analysis). Although both methods are appropriate to differentiate between active and inactive compounds, the artificial neural network is, in this case, more adequate, since it shows in a test set a prediction success of 98%, versus 92% obtained with linear discriminant analysis.

Antimicrobial Activity Characterization in a Heterogeneous Group of Compounds

1998

In this work we carry out a study of pattern recognition to detect the microbiological activity in a group of heterogeneous compounds. The structural descriptors utilized are the topological connectivity indexes. The methods followed are stepwise linear discriminant analysis (linear analysis) and artificial neural network (nonlinear analysis). Although both methods are appropriate to differentiate between active and inactive compounds, the artificial neural network is, in this case, more adequate, since it shows in a test set a prediction success of 98%, versus 92% obtained with linear discriminant analysis.

Mutations in LMX1B cause abnormal skeletal patterning and renal dysplasia in nail patella syndrome

1998

The LIM-homeodomain protein Lmxlb plays a central role in dorso-ventral patterning of the vertebrate limb1. Targeted disruption of Lmxlb results in skeletal defects including hypoplas-tic nails, absent patellae and a unique form of renal dysplasia (see accompanying manuscript by H. Chen et al.; ref. 2). These features are reminiscent of the dominantly inherited skeletal malformation nail patella syndrome (NFS). We show that LMX1B maps to the NFS locus and that three independent NFS patients carry de novo heterozygous mutations in this gene. Functional studies show that one of these mutations disrupts sequence-specific DNA binding, while the other two mutations result in premature terminatio…

Prominence Facilitates Ambiguity Resolution: On the Interaction Between Referentiality, Thematic Roles and Word Order in Syntactic Reanalysis

2011

In two eye-tracking experiments, we investigated the relationship between the subject preference in the resolution of subject-object ambiguities in German embedded clauses and semantic word order constraints (i.e., prominence hierarchies relating to the specificity/referentiality of noun phrases, case assignment and thematic role assignment). Our central research question concerned the timecourse with which prominence information is used and particularly whether it modulates the subject preference. In both experiments, we replicated previous findings of reanalysis effects for object-initial structures. Our findings further suggest that noun phrase prominence does not alter initial parsing s…

X-RAY AND OPTICAL OBSERVATIONS OF A 0535+26

2011

We present recent contemporaneous X-ray and optical observations of the Be/X-ray binary system A\,0535+26 with the \textit{Fermi}/Gamma-ray Burst Monitor (GBM) and several ground-based observatories. These new observations are put into the context of the rich historical data (since $\sim$1978) and discussed in terms of the neutron star Be-disk interaction. The Be circumstellar disk was exceptionally large just before the 2009 December giant outburst, which may explain the origin of the unusual recent X-ray activity of this source. We found a peculiar evolution of the pulse profile during this giant outburst, with the two main components evolving in opposite ways with energy. A hard 30-70 mH…