191 search results - page 2 / 39 » A probabilistic model for multimodal hash function learning |
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
AAMAS
2010
Springer
13 years 5 months ago
2010
Springer
During face-to-face interactions, listeners use backchannel feedback such as head nods as a signal to the speaker that the communication is working and that they should continue sp...
AGI
2008
13 years 6 months ago
2008
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
NIPS
2003
13 years 6 months ago
2003
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
ISBI
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper, multi-modal Magnetic Resonance (MR) images are integrated into a tissue profile that aims at differentiating tumor components, edema and normal tissue. This is achi...