Sciweavers

8970 search results - page 1417 / 1794
» Learning to Learn Causal Models
Sort
View
182
Voted
ICRA
2008
IEEE
129views Robotics» more  ICRA 2008»
16 years 1 months ago
Communication-aware motion planning in fading environments
— In this paper we create a framework to model and characterize the impact of time-varying fading communication links on the performance of a mobile sensor network. We propose co...
Yasamin Mostofi
IJCNN
2008
IEEE
16 years 1 months ago
Long-term prediction of time series using NNE-based projection and OP-ELM
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...
WACV
2008
IEEE
16 years 1 months ago
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
This paper describes a segmentation method for extracting salient regions in outdoor scenes using both 3-D laser scans and imagery information. Our approach is a bottomup attentiv...
Gunhee Kim, Daniel F. Huber, Martial Hebert
ICDAR
2007
IEEE
16 years 1 months ago
Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation
Using a lexicon can often improve character recognition under challenging conditions, such as poor image quality or unusual fonts. We propose a flexible probabilistic model for c...
Jerod J. Weinman, Erik G. Learned-Miller, Allen R....
ICRA
2007
IEEE
165views Robotics» more  ICRA 2007»
16 years 1 months ago
Probabilistic Appearance Based Navigation and Loop Closing
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...
Mark Cummins, Paul M. Newman
« Prev « First page 1417 / 1794 Last » Next »