222 search results - page 33 / 45 » Learning Optimal Parameters in Decision-Theoretic Rough Sets |
CORR
2010
Springer
13 years 8 months ago
2010
Springer
We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that t...
LCPC
2005
Springer
14 years 2 months ago
2005
Springer
Compilers employ system models, sometimes implicitly, to make code optimization decisions. These models are analytic; they reflect their implementor’s understanding and beliefs ...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
TCC
2010
Springer
14 years 5 months ago
2010
Springer
Abstract. For secure two-party and multi-party computation with abort, classification of which primitives are complete has been extensively studied in the literature. However, for...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...