Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …

Reviews a significant component of the rich field of statistical multiresolution (MR) modeling
and processing. These MR methods have found application and permeated the literature of …

A general framework for constructing and using probabilistic models of complex systems that
would enable a computer to use available information for making decisions. Most tasks …

Many real-world applications produce networked data such as the world-wide web
(hypertext documents connected via hyperlinks), social networks (for example, people …

The past decade has seen many advances in physical layer wireless communication theory
and their implementation in wireless systems. This textbook takes a unified view of the …

Wireless technology is a truly revolutionary paradigm shift, enabling multimedia
communications between people and devices from any location. It also underpins exciting …

Algorithms that must deal with complicated global functions of many variables often exploit
the manner in which the given functions factor as a product of" local" functions, each of …

The formalism of probabilistic graphical models provides a unifying framework for capturing
complex dependencies among random variables, and building large-scale multivariate …

Recently, researchers have demonstrated that loopy belief propagation-the use of Pearls
polytree algorithm IN a Bayesian network WITH loops OF error-correcting codes. The most …

We describe a learning-based method for low-level vision problems—estimating scenes
from images. We generate a synthetic world of scenes and their corresponding rendered …