Introduction: FIGURE 1.

Web Figure 1

P Figure 1: Lookup Table Figure 2: Decomposition

a t t e r n T h e o r e t i c L e a r n i n g Abstract The goal of learning from sample data is to extract a concept that captures the underlying pattern while still representing it in a way useful to the investigator. A new approach based on function decomposition in the Pattern Theory framework is presented here. The objective of this extended abstract is threefold. The rst is to provide an o...

Theory in Biology: Figure 1 or Figure 7?

The pace of modern science is staggering. The quantities of data now flowing from DNA sequencers, fluorescence and electron microscopes, mass spectrometers, and other mind-blowing instruments leave us faced with information overload. This explosion in data has brought on its heels a concomitant need for efforts at the kinds of synthesis and unification we see in theoretical physics. Often in ce...

Figure Captions. Figure 1. an Example of a Domain

An e cient multigrid approach for solving a discretized elliptic equation whose boundary values are determined in part by integral relations is developed, analyzed and tested. The algorithm is implemented on a problem that is solved during integration of the three-dimensional Quasigeostrophic equations, which model large-scale rotating strati ed ows, where the integral constraints represent mas...

Figure 1: AARON drawing, 1987

AARON is a program designed to investigate the cognitive principles underlying visual representation. Under continuous development for fifteen years, it is now able autonomously to make "freehand" drawings of people in garden-like settings. This has required a complex interplay between two bodies of knowledge: objectspecific knowledge of how people are constructed and how they move, together wi...