1380 search results - page 64 / 276 » Learning Hierarchical Shape Models from Examples |
STOC
1993
ACM
13 years 12 months ago
1993
ACM
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
ICCV
1998
IEEE
14 years 1 days ago
1998
IEEE
We have been developing a theory of generic 2-D shape based on a reaction-diffusion model from mathematical physics. The description of a shape is derived from the singularities o...
PRL
2007
13 years 7 months ago
2007
This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
ICDAR
2009
IEEE
13 years 5 months ago
2009
IEEE
We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained "on the fly...
NIPS
2008
13 years 9 months ago
2008
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...