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Artificial Intelligence (Latest Articles)
Latest indexed articles for 'Artificial Intelligence'
Articles 21 to 30 of 200:
Looking for shapes in two-dimensional cluttered point clouds.
30 Aug 2009 
We study the problem of identifying shape classes in point clouds. These clouds contain sampled points along contours and are corrupted by clutter and observation noise. Taking an analysis-by-synthesis approach, we simulate high-probability ...
rec_pub_19574622-looking-shapes-two-dimensional-cluttered-point-clouds.htm
Linear neighborhood propagation and its applications.
30 Aug 2009 In this paper, a novel graph-based transductive classification approach, called Linear Neighborhood Propagation, is proposed. The basic idea is to predict the label of a data point according to its neighbors in a linear way. This method can be cast ...
rec_pub_19574621-linear-neighborhood-propagation-applications.htm
Evaluation of stereo matching costs on images with radiometric differences.
30 Aug 2009 Stereo correspondence methods rely on matching costs for computing the similarity of image locations. We evaluate the insensitivity of different costs for passive binocular stereo methods with respect to radiometric variations of the input images. ...
rec_pub_19574620-evaluation-stereo-matching-costs-images-radiometric-differences.htm
30 Aug 2009 This paper presents a novel framework for detecting, localizing, and classifying faces in terms of visual traits, e.g., sex or age, from arbitrary viewpoints and in the presence of occlusion. All three tasks are embedded in a general ...
rec_pub_19574619-detection-localization-sex-classification-faces-arbitrary-viewpoints.htm
Calibration of cameras with radially symmetric distortion.
30 Aug 2009 We present algorithms for plane-based calibration of general radially distorted cameras. By this, we understand cameras that have a distortion center and an optical axis such that the projection rays of pixels lying on a circle centered on the ...
rec_pub_19574618-calibration-cameras-radially-symmetric-distortion.htm
Factorial switching linear dynamical systems applied to physiological condition monitoring.
30 Aug 2009 Condition monitoring often involves the analysis of systems with hidden factors that switch between different modes of operation in some way. Given a sequence of observations, the task is to infer the filtering distribution of the switch setting at ...
rec_pub_19574617-factorial-switching-linear-dynamical-systems-applied-physiological.htm
29 Aug 2009 Optical coherence tomography (OCT) is a rapidly emerging imaging modality that can non-invasively provide cross-sectional, high-resolution images of tissue morphology in situ and in real-time. We previously demonstrated that OCT is capable of ...
rec_pub_19724599-automated-quantification-microstructural-dimensions-human-kidney.htm
Automated segmentation of the macula by optical coherence tomography.
29 Aug 2009 This paper presents optical coherence tomography (OCT) signal intensity variation based segmentation algorithms for retinal layer identification. Its main ambition is to reduce the calculation time required by layer identification algorithms. Two ...
rec_pub_19724565-automated-segmentation-macula-optical-coherence-tomography.htm
The utilization of consistency metrics for error analysis in deformable image registration.
26 Aug 2009 The aim of this study was to investigate the utility of consistency metrics, such as inverse consistency, in contour-based deformable registration error analysis. Four images were acquired of the same phantom that has experienced varying levels of ...
rec_pub_19717890-the-utilization-consistency-metrics-error-analysis-deformable-image.htm
SVM-based CAD system for early detection of the Alzheimer's disease using kernel PCA and LDA.
26 Aug 2009 Single-photon emission tomography (SPECT) imaging has been widely used to guide clinicians in the early Alzheimer's disease (AD) diagnosis challenge. However, AD detection still relies on subjective steps carried out by clinicians, which entail in ...
rec_pub_19716856-svm-based-cad-system-early-detection-alzheimer-s-disease-using-kernel.htm
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