Artificial Intelligence (Latest Articles)

Latest indexed articles for 'Artificial Intelligence'

Articles 131 to 140 of 200:

Effects of magnetic resonance image interpolation on the results of texture-based pattern classification: a phantom study.

29 Jun 2009 OBJECTIVES: To (1) determine whether magnetic resonance (MR) image interpolation at the pixel or k-space level can improve the results of texture-based pattern classification, and (2) compare the effects of image interpolation on texture features of ...
rec_pub_19465863-effects-magnetic-resonance-image-interpolation-results-texture-based.htm

Recovering time-varying networks of dependencies in social and biological studies.

29 Jun 2009 A plausible representation of the relational information among entities in dynamic systems such as a living cell or a social community is a stochastic network that is topologically rewiring and semantically evolving over time. Although there is a ...
rec_pub_19570995-recovering-time-varying-networks-dependencies-social-biological.htm

A smart sensing platform for the classification of ambulatory patterns.

29 Jun 2009 This paper describes an innovative sensing approach allowing capture, discrimination, and classification of transients automatically in gait. A walking platform is described, which offers an alternative design to that of standard force plates with ...
rec_pub_19623910-a-smart-sensing-platform-classification-ambulatory-patterns.htm

Computer-based detection of diabetes retinopathy stages using digital fundus images.

29 Jun 2009 Diabetes mellitus is a heterogeneous clinical syndrome characterized by hyperglycaemia and the long-term complications are retinopathy, neuropathy, nephropathy, and cardiomyopathy. It is a leading cause of blindness. Diabetic retinopathy is the ...
rec_pub_19623908-computer-based-detection-diabetes-retinopathy-stages-using-digital.htm

Estimation of positive semidefinite correlation matrices by using convex quadratic semidefinite programming.

29 Jun 2009 The correlation matrix is a fundamental statistic that is used in many fields. For example, GroupLens, a collaborative filtering system, uses the correlation between users for predictive purposes. Since the correlation is a natural similarity ...
rec_pub_19191594-estimation-positive-semidefinite-correlation-matrices-using-convex.htm

Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition.

29 Jun 2009 CONTEXT: Identification of individuals at high risk of developing psychosis has relied on prodromal symptomatology. Recently, machine learning algorithms have been successfully used for magnetic resonance imaging-based diagnostic classification of ...
rec_pub_19581561-use-neuroanatomical-pattern-classification-identify-subjects-risk.htm

A multiclass classification method based on decoding of binary classifiers.

29 Jun 2009 In this letter, we present new methods of multiclass classification that combine multiple binary classifiers. Misclassification of each binary classifier is formulated as a bit inversion error with probabilistic models by making an analogy to the ...
rec_pub_19292646-a-multiclass-classification-method-based-decoding-binary-classifiers.htm

Use of a computer-aided detection system to detect missed lung cancer at chest radiography.

29 Jun 2009 PURPOSE: To study the ability of a computer-aided detection (CAD) system to detect lung cancer overlooked at initial interpretation by the radiologist. MateRIALS AND METHODS: Institutional review board approval was given for this study. Patient ...
rec_pub_19561261-use-computer-aided-detection-system-detect-missed-lung-cancer-chest.htm

A novel feature selection methodology for automated inspection systems.

29 Jun 2009 This paper proposes a new feature selection methodology. The methodology is based on the stepwise variable selection procedure, but, instead of using the traditional discriminant metrics such as Wilks' Lambda, it uses an estimation of the ...
rec_pub_19443930-a-novel-feature-selection-methodology-automated-inspection-systems.htm

Context-aware visual tracking.

29 Jun 2009 Enormous uncertainties in unconstrained environments lead to a fundamental dilemma that many tracking algorithms have to face in practice: Tracking has to be computationally efficient, but verifying whether or not the tracker is following the true ...
rec_pub_19443919-context-aware-visual-tracking.htm

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