The description of scenes over time and space

This paper explores techniques for pattern recognition and description of more than one object, where objects extend over time as well as over space. Three major interrelated issues are examined: A. Describing, as opposed to simple naming; B. Time, and the way a system can build up a short-term perceptual memory to handle and make use of changing information; C. Glancing around, in order to recognize and describe. Two actual computer programs are presented, to make clear exactly what the issues are and how they are handled, and to make comparisons possible. Program DESCRIBE-1 uses configurational characterizers, and describes by outputting several highly-implied objects. Program DESCRIBE-2 handles inputs that extend over time. It glances about and gives structural descriptions of the parts of objects. A number of variants are examined, to explore how a program can describe with more variety. Descriptors: Scene Analysis, Describing, Pattern Naming, Time, Flexible Pattern Recognitio

A teachable pattern describing and recognizing program

The paper discusses an adaptive pattern recognition program that learns to recognize coded line drawings, and to describe the structure of the pattern by giving the hierarchical organization of its subparts, and the spatial relationships between them. Emphasis is on mechanisms that allow learning (directed by feedback from a human trainer), and on the methods of abstracting, storing, and retrieving chunks of graphic information for use in subsequent pattern recognition and description. Some similarities to the perceptual process in humans are noted.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/33007/1/0000391.pd

Time and dosage effects of meprobamate on visual detection

Sixteen male subjects, 21 years and older, were run in a doubleblind own-control design under three dosages of meprobamate (400, 800 and 1600 mg) and matching placebo, to determine response curves on a visual detection task over a four and one-half hour period, from 5:00 to 9:30 p.m. To control for possible daily cycle effects two additional runs under placebo and 1600 mg meprobamate were conducted from 8:00 a.m. to 12:30 p.m.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/46406/1/213_2004_Article_BF00710913.pd

Behavioral effects of chronic administration of psychoactive drugs to anxious patients

The effects of chronic administration of (a) 1600 mg. meprobamate, (b) five Tranquil tablets (the maximum recommended daily dose), and (c) placebos were examined, in a counterbalanced partially blinded design. Thirty-two subjects, including 23 anxious patients, employed as their own controls, were given behavioral tests, psychiatric interviews, and ratings at the end of each 21 day treatment period.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/46328/1/213_2004_Article_BF00409114.pd

Recognition Cones That Perceive and Describe Scenes that Move and Change Over Time

This paper describes a "recognition cone" model of the perceptual system that can input and process a continuously changing image of a scene (e.g. the successive frames of a movie or television camera). It recognizes and describes the things (mixtures of words and objects) in the scene, including their parts, qua1ities, and interrelations. It uses a hierarchy of configurational characterizing transforms, where a transform can imply a)other transforms to apply, as well as b)possible names and other descriptive information to assign to the scene, and c)triggers to choose among possibilities in subregions of the scene. Choices of the components of the description are made from the set of implied possibilities, where each can be imp1ied by a variety of contextually interrelated characteristics. The system will output either a "complete" or a stylized description, or a description that is the dynamic consequence of a user's conversational sequence of interactive requests for more information. This system is actually the perceptual "front end" of a wholistic cognitive system that calls for and uses its internal descriptions to help choose and carry out sequences of actions, both internal (e.g. to deduce, remember) and external (e.g. to move, manipulate, glance about)