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» New Algorithms for Statistical Analysis of Interval Data
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ECCV
1998
Springer
16 years 6 months ago
The Role of Total Least Squares in Motion Analysis
Abstract. The main goal of this paper is to put well-established techniques for two-view motion analysis in the context of the theory of Total Least Squares and to make clear that ...
Matthias Mühlich, Rudolf Mester
PAMI
2010
276views more  PAMI 2010»
15 years 2 months ago
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...
Yijun Sun, Sinisa Todorovic, Steve Goodison
WWW
2008
ACM
16 years 4 months ago
Characterizing typical and atypical user sessions in clickstreams
Millions of users retrieve information from the Internet using search engines. Mining these user sessions can provide valuable information about the quality of user experience and...
Narayanan Sadagopan, Jie Li
CEC
2007
IEEE
15 years 8 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
ICCV
2005
IEEE
15 years 9 months ago
On the Spatial Statistics of Optical Flow
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...
Stefan Roth, Michael J. Black