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ICML
2005
IEEE
16 years 20 days ago
Q-learning of sequential attention for visual object recognition from informative local descriptors
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
Lucas Paletta, Gerald Fritz, Christin Seifert
CN
1999
98views more  CN 1999»
14 years 11 months ago
Mobility information for resource management in wireless ATM networks
ZUser mobility poses a significant technical challenge to network resource management in wireless ATM Asynchronous . Z .Transfer Mode networks. In order to guarantee quality of se...
Xuemin Shen, Jon W. Mark
CVPR
2005
IEEE
16 years 1 months ago
Coupled Kernel-Based Subspace Learning
It was prescriptive that an image matrix was transformed into a vector before the kernel-based subspace learning. In this paper, we take the Kernel Discriminant Analysis (KDA) alg...
Shuicheng Yan, Dong Xu, Lei Zhang, Benyu Zhang, Ho...
CIBCB
2006
IEEE
15 years 6 months ago
Machine Learning in Basecalling Decoding Trace Peak Behaviour
— DNA sequence basecalling is commonly regarded as a solved problem, despite significant error rates being reflected in inaccuracies in databases and genome annotations. These er...
David Thornley, Stavros Petridis
ECCV
2010
Springer
15 years 3 months ago
Visual Tracking using a Pixelwise Spatiotemporal Oriented Energy Representation
Abstract. This paper presents a novel pixelwise representation for visual tracking that models both the spatial structure and dynamics of a target in a unified fashion. The represe...