We present and empirically test a novel approach for categorizing 3-D free form object shapes represented by range data . In contrast to traditional surface-signature based systems that use alignment to match specific objects, we adapted the newly introduced symbolic-signature representation to classify deformable shapes [10]. Our approach constructs an abstract description of shape classes usi...

Accurate prediction of demographic attributes from social media and other informal online content is valuable for marketing, personalization, and legal investigation. This paper describes the construction of a large, multilingual dataset labeled with gender, and investigates statistical models for determining the gender of uncharacterized Twitter users. We explore several different classifier t...

BACKGROUND AND PURPOSE The aim of the present study was to identify clinical determinants able to predict which individuals are susceptible to deterioration of mobility from 1 to 3 years after stroke. METHODS Prospective cohort study of stroke patients consecutively admitted for inpatient rehabilitation. A total of 205 relatively young, first-ever stroke patients were assessed at 1 and 3 year...

Background and Purpose—The aim of the present study was to identify clinical determinants able to predict which individuals are susceptible to deterioration of mobility from 1 to 3 years after stroke. Methods—Prospective cohort study of stroke patients consecutively admitted for inpatient rehabilitation. A total of 205 relatively young, first-ever stroke patients were assessed at 1 and 3 years ...

Higher order spatial correlations can capture edge and object relationships. Isotrigon textures are useful for studying our sensitivity to these correlations. We determined human discrimination performance for 18 isotrigon texture types and compared it with outputs from statistical discriminant models. Some of the models employed versions of the Allan Variance in receptive field outputs. Physio...