248 search results - page 16 / 50 » Unsupervised Learning for Hierarchical Clustering Using Stat... |
SAC
2009
ACM
14 years 2 months ago
2009
ACM
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, i...
MM
2003
ACM
14 years 22 days ago
2003
ACM
We present similarity-based methods to cluster digital photos by time and image content. The approach is general, unsupervised, and makes minimal assumptions regarding the structu...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
EMNLP
2009
13 years 5 months ago
2009
We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, r...