Sciweavers

168 search results - page 26 / 34
» Learning to Recognize Objects from Unseen Modalities
Sort
View
AROBOTS
2007
159views more  AROBOTS 2007»
14 years 9 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone
IJCV
2008
192views more  IJCV 2008»
14 years 9 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
JMLR
2012
13 years 2 days ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
NIPS
2007
14 years 11 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman
HRI
2010
ACM
15 years 4 months ago
Investigating multimodal real-time patterns of joint attention in an hri word learning task
Abstract—Joint attention – the idea that humans make inferences from observable behaviors of other humans by attending to the objects and events that these others humans attend...
Chen Yu, Matthias Scheutz, Paul W. Schermerhorn