250 search results - page 42 / 50 » Learning Probabilistic Models of Word Sense Disambiguation |
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
SIGIR
2005
ACM
15 years 3 months ago
2005
ACM
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
ICCV
2007
IEEE
15 years 4 months ago
2007
IEEE
This article proposes an active basis model and a shared pursuit algorithm for learning deformable templates from image patches of various object categories. In our generative mod...
KCAP
2005
ACM
15 years 3 months ago
2005
ACM
In this document, we describe a light-weighted ontology mediation method that allows users to send semantic queries to distant data repositories to browse for learning object meta...