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BMCBI
2008
99views more  BMCBI 2008»
13 years 11 months ago
Binning sequences using very sparse labels within a metagenome
Background: In metagenomic studies, a process called binning is necessary to assign contigs that belong to multiple species to their respective phylogenetic groups. Most of the cu...
Chon-Kit Kenneth Chan, Arthur L. Hsu, Saman K. Hal...
BMCBI
2004
113views more  BMCBI 2004»
13 years 10 months ago
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
WAPCV
2007
Springer
14 years 4 months ago
Reinforcement Learning for Decision Making in Sequential Visual Attention
The innovation of this work is the provision of a system that learns visual encodings of attention patterns and that enables sequential attention for object detection in real world...
Lucas Paletta, Gerald Fritz
WACV
2012
IEEE
12 years 6 months ago
Online discriminative object tracking with local sparse representation
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
ICRA
2007
IEEE
211views Robotics» more  ICRA 2007»
14 years 5 months ago
Control Camera and Light Source Positions using Image Gradient Information
— In this paper, we propose an original approach to control camera position and/or lighting conditions in an environment using image gradient information. Our goal is to ensure a...
Éric Marchand