174 search results - page 32 / 35 » Learning Qualitative Metabolic Models |
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
This paper addresses the problem of segmenting an image into regions consistent with user-supplied seeds (e.g., a sparse set of broad brush strokes). We view this task as a statis...
ISBI
2008
IEEE
14 years 10 months ago
2008
IEEE
We propose a new Bayesian, stochastic tracking algorithm for the segmentation of blood vessels from 3D medical image data. Inspired by the recent developments in particle filterin...
CIKM
2007
Springer
14 years 4 months ago
2007
Springer
Challenging the implicit reliance on document collections, this paper discusses the pros and cons of using query logs rather than document collections, as self-contained sources o...
COLT
2004
Springer
14 years 3 months ago
2004
Springer
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
IFIP12
2008
13 years 11 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...