348 search results - page 3 / 70 » Learning Determinantal Point Processes |
IROS
2009
IEEE
13 years 12 months ago
2009
IEEE
Abstract— We report on our experiences regarding the acquisition of hybrid Semantic 3D Object Maps for indoor household environments, in particular kitchens, out of sensed 3D poi...
EMNLP
2008
13 years 6 months ago
2008
Predicting possible code-switching points can help develop more accurate methods for automatically processing mixed-language text, such as multilingual language models for speech ...
NIPS
2004
13 years 6 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
MLDM
2005
Springer
13 years 10 months ago
2005
Springer
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
TSMC
1998
13 years 5 months ago
1998
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...