TRN's Making The Future Report

March 2004
Pattern Recognition Technologies: Getting the Picture
40 pages

This report examines the current state of pattern recognition technologies, organizes key issues and puts them in context, and succinctly explains how the technologies work.

Because the ability to recognize patterns is so ingrained, it seems easy. But attempts to program a computer to pick out individual words from the continuous flow of noise we call speech, to recognize the difference between a green apple and a tennis ball, to tell the difference between a female and male face, or to paraphrase a sentence have shown that pattern recognition is a sophisticated task.

Combine the ability to recognize objects and data patterns with a computer's fast computational abilities and round-the-clock hours, however, and you have the means to automatically organize mountains of video and audio, greatly improve the human-computer interface, and enable high-level security.

Pattern recognition is also intrinsic to computer vision, network intruder detection, forgery detection, biometrics, next-generation computer interfaces and automatic paraphrasing, translation and language understanding.

The report includes an executive summary, a list of 21 developments to look for as these cutting-edge technologies take shape, and a section of 29 researchers to watch, including links to their Web pages. It also includes a quick tour of 29 recent developments in eight areas and a section of 27 in-depth news stories from TRN.

The stories are organized into eight categories: data, multimedia, computer vision, security, interfaces, language processing and neural networks.

TRN's Making the Future reports contain live links, and can be read on a computer, printed and archived.

Buy the the Pattern Recognition Technologies report for $89.

. You will receive download instructions via email.

Report Sections
Executive Summary: 260 words Main Report: 3,365 words How It Works: 946 words In-Depth Stories: 27 stories, including 6 images
Table of Contents: Main Report Understanding the world Seeing things our way Where things stand Approaches to pattern recognition Keen eye for the numbers Words Genes — an ocean of data Audiovisual Seeing things Digital watchdogs Catch my meaning More than words Learning from the brain Making sense	How It Works Anatomy of a recognizer To supervise or not to supervise The technologies Matching Grammars Statistics Mimicking biology In-Depth Story Categories Data Multimedia Computer vision Security Interfaces Language processing Neural networks

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