21 search results - page 4 / 5 » Computing Blocker Sets for the Regular Post Embedding Proble... |
ALT
2006
Springer
14 years 2 months ago
2006
Springer
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
PAMI
2008
13 years 5 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
ICDT
2010
ACM
14 years 3 months ago
2010
ACM
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
MIR
2003
ACM
13 years 11 months ago
2003
ACM
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
EMSOFT
2007
Springer
13 years 12 months ago
2007
Springer
We address the problem of mapping a set of processes which communicate synchronously on a distributed platform. The Time Triggered Architecture (TTA) proposed by Kopetz for the co...