Sciweavers

7928 search results - page 252 / 1586
» Human-Like Learning Methods for a
Sort
View
NIPS
2007
15 years 7 months ago
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta
Rosetta is one of the leading algorithms for protein structure prediction today. It is a Monte Carlo energy minimization method requiring many random restarts to find structures ...
Ben Blum, Michael I. Jordan, David Kim, Rhiju Das,...
AAIP
2009
15 years 7 months ago
Automated Method Induction: Functional Goes Object Oriented
The development of software engineering has had a great deal of benefits for the development of software. Along with it came a whole new paradigm of the way software is designed a...
Thomas Hieber, Martin Hofmann 0008
JBI
2007
148views Bioinformatics» more  JBI 2007»
15 years 6 months ago
A method for linking computed image features to histological semantics in neuropathology
In medical image analysis, the image content is often represented by computed features that need to be interpreted at a clinical level of understanding to support lopment of clini...
Birgit Lessmann, Tim W. Nattkemper, V. H. Hans, An...
SADM
2010
173views more  SADM 2010»
15 years 23 days ago
Data reduction in classification: A simulated annealing based projection method
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Tian Siva Tian, Rand R. Wilcox, Gareth M. James
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer