AAAI
2015
8 years 8 months ago
2015
Current manifold alignment methods can effectively align data sets that are drawn from a non-intersecting set of manifolds. However, as data sets become increasingly high-dimensio...
AAAI
2015
8 years 8 months ago
2015
Spectral clustering is a fundamental technique in the field of data mining and information processing. Most existing spectral clustering algorithms integrate dimensionality reduc...
AAAI
2015
8 years 8 months ago
2015
How should we gather information to make effective decisions? A classical answer to this fundamental problem is given by the decision-theoretic value of information. Unfortunately...
AAAI
2015
8 years 8 months ago
2015
Many scenarios require that robots work together as a team in order to effectively accomplish their tasks. However, precoordinating these teams may not always be possible given th...
AAAI
2015
8 years 8 months ago
2015
In emergency medical systems, arriving at the incident location a few seconds early can save a human life. Thus, this paper is motivated by the need to reduce the response time ...
AAAI
2015
8 years 8 months ago
2015
In many applications, training data is provided in the form of related datasets obtained from several sources, which typically affects the sample distribution. The learned classi...
AAAI
2015
8 years 8 months ago
2015
Metric learning has become a widespreadly used tool in machine learning. To reduce expensive costs brought in by increasing dimensionality, low-rank metric learning arises as it c...
AAAI
2015
8 years 8 months ago
2015
Robots are increasingly becoming key players in human-robot teams. To become effective teammates, robots must possess profound understanding of an environment, be able to reason a...
AAAI
2015
8 years 8 months ago
2015
Semantic Web documents that encode facts about entities on the Web have been growing rapidly in size and evolving over time. Creating summaries on lengthy Semantic Web documents f...
AAAI
2015
8 years 8 months ago
2015
This paper investigates stochastic planning problems with large factored state and action spaces. We show that even with moderate increase in the size of existing challenge proble...