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ICIP
2005
IEEE
16 years 8 months ago
Largest-eigenvalue-theory for incremental principal component analysis
In this paper, we present a novel algorithm for incremental principal component analysis. Based on the LargestEigenvalue-Theory, i.e. the eigenvector associated with the largest ei...
Shuicheng Yan, Xiaoou Tang
VIS
2008
IEEE
137views Visualization» more  VIS 2008»
16 years 8 months ago
Importance-Driven Time-Varying Data Visualization
The ability to identify and present the most essential aspects of time-varying data is critically important in many areas of science and engineering. This paper introduces an impor...
Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma
ICPR
2008
IEEE
16 years 8 months ago
Information-based gaze control adaptation to scene context for mobile robots
Goal-directed guidance of gaze control based on coordinated task and stimulus parameters is essential for steering a mobile cognitive system efficiently and autonomously through t...
Kolja Kühnlenz, Martin Buss, Tingting Xu
ICPR
2006
IEEE
16 years 8 months ago
Onset Detection through Maximal Redundancy Detection
We propose a criterion, called `maximal redundancy', for onset detection in time series. The concept redundancy is adopted from information theory and indicates how well a si...
Gert Van Dijck, Marc M. Van Hulle
ICML
2009
IEEE
16 years 7 months ago
On sampling-based approximate spectral decomposition
This paper addresses the problem of approximate singular value decomposition of large dense matrices that arises naturally in many machine learning applications. We discuss two re...
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar