منابع مشابه
Distinguishing Distributions with Interpretable Features
•Two semimetrics, ME and SCF, on distributions are based on the differences of analytic functions evaluated at spatial or frequency locations (i.e., features). •Proposal: choose the features so as to maximize the distinguishability of the distributions, by optimizing a lower bound on test power for a statistical test using these features. •Result: powerful, linear-time, nonparametric, interpret...
متن کاملGender-Distinguishing Features in Film Dialogue
Film scripts provide a means of examining generalized western social perceptions of accepted human behavior. In particular, we focus on how dialogue in films describes gender, identifying linguistic and structural differences in speech for men and women and in same and different-gendered pairs. Using the Cornell Movie-Dialogs Corpus (DanescuNiculescu-Mizil et al., 2012a), we identify significan...
متن کاملDistinguishing the relevant features of frequent suicide attempters.
BACKGROUND In spite of the high prevalence of suicide behaviours and the magnitude of the resultant burden, little is known about why individuals reattempt. We aim to investigate the relationships between clinical risk factors and the repetition of suicidal attempts. METHODS 1349 suicide attempters were consecutively recruited in the Emergency Room (ER) of two academic hospitals in France and...
متن کاملDistinguishing Neuroimaging Features in Patients Presenting with Visual Hallucinations.
Visual hallucinations are relatively uncommon presentations in medical and psychiatric clinics, where they are generally regarded as a marker of possible underlying "organic" brain disease. Thus, patients with visual hallucinations are often referred for imaging of the brain. This article presents a pragmatic approach for the radiologist reviewing such imaging. Because conditions that can prese...
متن کاملUnsupervised BCM Network The Usefulness of Distinguishing Features
We propose an object recognition scheme based on a method for feature extraction from gray level images that corresponds to recent statistical theory, called pmjection pursuit, and is derived from a biologically motivated feature extracting neuron. To evaluate the performance of this method we use a set of very detailed psychophysical three-dimensional object recognition experiments (Biilthoff ...
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ژورنال
عنوان ژورنال: ALT-J
سال: 1995
ISSN: 0968-7769,1741-1629
DOI: 10.1080/0968776950030201