1547 search results - page 66 / 310 » Learning a Classification Model for Segmentation |
TNN
2008
13 years 9 months ago
2008
In this paper, we present a novel network to separate mixtures of inputs that have been previously learned. A significant capability of the network is that it segments the componen...
ISBI
2007
IEEE
14 years 3 months ago
2007
IEEE
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
SIGKDD
2008
13 years 9 months ago
2008
This paper presents our solution for KDD Cup 2008 competition that aims at optimizing the area under ROC for breast cancer detection. We exploited weighted-based classification me...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...