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CVPR
2011
IEEE
13 years 2 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
MICCAI
2010
Springer
13 years 9 months ago
A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images
Abstract. While there has been substantial progress in segmenting natural images, state-of-the-art methods that perform well in such tasks unfortunately tend to underperform when c...
Aurélien Lucchi, Kevin Smith, Radhakrishna ...
MCS
2002
Springer
13 years 10 months ago
Stacking with Multi-response Model Trees
We empirically evaluate several state-of-the-art methods for constructing ensembles of classifiers with stacking and show that they perform (at best) comparably to selecting the be...
Saso Dzeroski, Bernard Zenko
BMCBI
2007
216views more  BMCBI 2007»
13 years 11 months ago
A replica exchange Monte Carlo algorithm for protein folding in the HP model
Background: The ab initio protein folding problem consists of predicting protein tertiary structure from a given amino acid sequence by minimizing an energy function; it is one of...
Chris Thachuk, Alena Shmygelska, Holger H. Hoos
HAPTICS
2008
IEEE
14 years 5 months ago
Higher Precision in Volume Haptics through Subdivision of Proxy Movements
Volume haptics has become an increasingly popular way of adding guidance and improving information bandwidth in scientific visualization. State-of-the-art methods, however, use li...
Karljohan E. Lundin Palmerius, George Baravdish
CVPR
2007
IEEE
15 years 1 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger