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» ICA-based probabilistic local appearance models
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SAB
2004
Springer
198views Optimization» more  SAB 2004»
13 years 10 months ago
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems
Abstract. In this paper, we review methods used for macroscopic modeling and analyzing collective behavior of swarm robotic systems. Although the behavior of an individual robot in...
Kristina Lerman, Alcherio Martinoli, Aram Galstyan
ICPR
2006
IEEE
14 years 6 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
BMCBI
2005
89views more  BMCBI 2005»
13 years 5 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
DNA
2011
Springer
227views Bioinformatics» more  DNA 2011»
12 years 5 months ago
Cooperative Assembly Systems
Several molecular systems form large-scale objects. One would like to understand their assembly and how this assembly is regulated. As a first step, we investigate the phase trans...
Vincent Danos, Heinz Koeppl, John Wilson-Kanamori
CVPR
2004
IEEE
14 years 7 months ago
Capturing Image Structure with Probabilistic Index Maps
One of the major problems in modeling images for vision tasks is that images with very similar structure may locally have completely different appearance, e.g., images taken under...
Nebojsa Jojic, Yaron Caspi