Human self-consciousness depends on the metarepresentation of mental and bodily states as one's own mental and bodily states. First-person-perspective taking is not sufficient, but necessary for human self-consciousness. To assign a first-person-perspective is to center one's own multimodal experiential space upon one's own body, thus operating in an egocentric reference frame. The brain region...

Algorithms for classifying pre-tagged person entities in tweets into one of 8 profession categories are presented. A classifier using a semi-supervised learning algorithm that takes into consideration the local context surrounding the entity in the tweet, hash tag information, and topic signature scores is described. A method that uses data from the Web to dynamically create a reference file ca...

OBJECTIVE To evaluate measurement error structure in dietary assessment instruments and to investigate its implications for nutritional studies, using urinary nitrogen excretion as a reference biomarker for protein intake. DESIGN The dietary assessment methods included different food-frequency questionnaires (FFQs) and such conventional dietary-report reference instruments as a series of 24-h...

Identifying the same individual across different scenes is an important yet difficult task in intelligent video surveillance. Its main difficulty lies in how to preserve similarity of the same person against large appearance and structure variation while discriminating different individuals. In this paper, we present a scalable distance driven feature learning framework based on the deep neural...

This paper describes our ongoing work on resolving third person pronouns and deictic words in a multi-modal corpus. We show that about two thirds of these referring expressions have antecedents that are introduced by pointing gestures or by haptic-ostensive actions (actions that involve manipulating an object). After describing our annotation scheme, we discuss the co-reference models we learn ...