Sciweavers

238 search results - page 12 / 48
» Separating Models of Learning from Correlated and Uncorrelat...
Sort
View
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
14 years 3 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
AAAI
2010
13 years 10 months ago
Recognizing Multi-Agent Activities from GPS Data
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
Adam Sadilek, Henry A. Kautz
BMCBI
2007
124views more  BMCBI 2007»
13 years 9 months ago
A high-accuracy consensus map of yeast protein complexes reveals modular nature of gene essentiality
Background: Identifying all protein complexes in an organism is a major goal of systems biology. In the past 18 months, the results of two genome-scale tandem affinity purificatio...
G. Traver Hart, Insuk Lee, Edward M. Marcotte
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
14 years 3 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
PAMI
2006
136views more  PAMI 2006»
13 years 8 months ago
Data Driven Image Models through Continuous Joint Alignment
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
Erik G. Learned-Miller