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» Models for Incomplete and Probabilistic Information
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ICRA
2009
IEEE
163views Robotics» more  ICRA 2009»
16 years 16 days ago
3D tree reconstruction from laser range data
— We present a method for reconstructing 3D models of tree branch structure from laser range data. Our approach is probabilistic, and uses a generative model of a tree to guide a...
Jonathan Binney, Gaurav S. Sukhatme
ICANN
2005
Springer
15 years 11 months ago
A Neural Network for Text Representation
Text categorization and retrieval tasks are often based on a good representation of textual data. Departing from the classical vector space model, several probabilistic models have...
Mikaela Keller, Samy Bengio
PAKDD
2005
ACM
180views Data Mining» more  PAKDD 2005»
15 years 11 months ago
Conditional Random Fields for Transmembrane Helix Prediction
Abstract. It is estimated that 20% of genes in the human genome encode for integral membrane proteins (IMPs) and some estimates are much higher. IMPs control a broad range of event...
Lior Lukov, Sanjay Chawla, W. Bret Church
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
15 years 7 months ago
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
Thomas Stibor
IJCV
2007
134views more  IJCV 2007»
15 years 5 months ago
Multi-sensory and Multi-modal Fusion for Sentient Computing
This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sent...
Christopher Town