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JMLR
2006
389views more  JMLR 2006»
13 years 9 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
BMCBI
2004
177views more  BMCBI 2004»
13 years 8 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
ECCV
2004
Springer
14 years 11 months ago
Towards Intelligent Mission Profiles of Micro Air Vehicles: Multiscale Viterbi Classification
In this paper, we present a vision system for object recognition in aerial images, which enables broader mission profiles for Micro Air Vehicles (MAVs). The most important factors ...
Sinisa Todorovic, Michael C. Nechyba
ICIP
2007
IEEE
14 years 10 months ago
Selective Streaming of Multi-View Video for Head-Tracking 3D Displays
We present a novel client-driven multi-view video streaming system that allows a user watch 3-D video interactively with significantly reduced bandwidth requirements by transmitti...
Engin Kurutepe, M. Reha Civanlar, A. Murat Tekalp
OSDI
2008
ACM
14 years 9 months ago
Automating Network Application Dependency Discovery: Experiences, Limitations, and New Solutions
Abstract ? Large enterprise networks consist of thousands of services and applications. The performance and reliability of any particular application may depend on multiple service...
Xu Chen, Ming Zhang, Zhuoqing Morley Mao, Paramvir...