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» Structured metric learning for high dimensional problems
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ICDE
2007
IEEE
152views Database» more  ICDE 2007»
14 years 2 months ago
Automatically Identifying Known Software Problems
Re-occurrence of the same problem is very common in many large software products. By matching the symptoms of a new problem to those in a database of known problems, automated dia...
Natwar Modani, Rajeev Gupta, Guy M. Lohman, Tanvee...
ISNN
2005
Springer
14 years 1 months ago
Enhanced Fuzzy Single Layer Perceptron
Abstract. In this paper, a method of improving the learning time and convergence rate is proposed to exploit the advantages of artificial neural networks and fuzzy theory to neuron...
Kwang-Baek Kim, Sungshin Kim, Young Hoon Joo, Am S...
JMLR
2010
144views more  JMLR 2010»
13 years 2 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
ICASSP
2010
IEEE
13 years 8 months ago
Action change detection in video by covariance matching of silhouette tunnels
Action recognition is an important but challenging problem in video analytics with a number of solutions proposed to date. However, even if a reliable model for action representat...
Kai Guo, Prakash Ishwar, Janusz Konrad
ACCV
2009
Springer
14 years 2 months ago
A Dynamic Programming Approach to Maximizing Tracks for Structure from Motion
We present a novel algorithm for improving the accuracy of structure from motion on video sequences. Its goal is to efficiently recover scene structure and camera pose by using dyn...
Jonathan Mooser, Suya You, Ulrich Neumann, Raphael...