Sciweavers

3624 search results - page 263 / 725
» Learning to learn: From smart machines to intelligent machin...
Sort
View
NIPS
1994
15 years 8 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen
173
Voted
ICML
2004
IEEE
16 years 7 months ago
SVM-based generalized multiple-instance learning via approximate box counting
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
ICIP
2009
IEEE
16 years 7 months ago
Detection Of Forgery In Paintings Using Supervised Learning
This paper examines whether machine learning and image analysis tools can be used to assist art experts in the authentication of unknown or disputed paintings. Recent work on this...
OTM
2004
Springer
16 years 2 days ago
A Virtual-Machine-Based Middleware
Currently, a number of distributed software systems development tools exist, but typically they are designed either to satisfy industrial standards – industrial perspective – o...
Alcides Calsavara, Agnaldo K. Noda, Juarez da Cost...
TMI
2010
172views more  TMI 2010»
15 years 5 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...