Sciweavers

1126 search results - page 170 / 226
» Constraint Classification: A New Approach to Multiclass Clas...
Sort
View
ICML
2003
IEEE
14 years 8 months ago
Incorporating Diversity in Active Learning with Support Vector Machines
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
Klaus Brinker
CVPR
2008
IEEE
14 years 9 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
MICCAI
2008
Springer
14 years 9 months ago
Segmenting Brain Tumors Using Pseudo-Conditional Random Fields
Locating Brain tumor segmentation within MR (magnetic resonance) images is integral to the treatment of brain cancer. This segmentation task requires classifying each voxel as eith...
Chi-Hoon Lee, Shaojun Wang, Albert Murtha, Matt...
OOPSLA
2005
Springer
14 years 1 months ago
A delta-driven execution model for semantic computing
We describe (and demonstrate) the execution model of a computing platform where computation is both incremental and data-driven. We call such an approach delta-driven. The platfor...
Roly Perera, Jeff Foster, György Koch
ECAI
2004
Springer
14 years 1 months ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic