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» Maximal Causality Analysis
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ICML
2000
IEEE
15 years 5 months ago
Mutual Information in Learning Feature Transformations
We present feature transformations useful for exploratory data analysis or for pattern recognition. Transformations are learned from example data sets by maximizing the mutual inf...
Kari Torkkola, William M. Campbell
76
Voted
ICPR
2010
IEEE
15 years 29 days ago
Hyper Least Squares and Its Applications
We present a new form of least squares (LS), called “hyperLS”, for geometric problems that frequently appear in computer vision applications. Doing rigorous error analysis, we...
Prasanna Rangarajan, Kenichi Kanatani, Hirotaka Ni...
108
Voted
TCBB
2008
101views more  TCBB 2008»
15 years 21 days ago
Improved Layout of Phylogenetic Networks
Split networks are increasingly being used in phylogenetic analysis. Usually, a simple equal-angle algorithm is used to draw such networks, producing layouts that leave much room f...
Philippe Gambette, Daniel H. Huson
97
Voted
TSP
2008
174views more  TSP 2008»
15 years 20 days ago
Complex ICA Using Nonlinear Functions
We introduce a framework based on Wirtinger calculus for nonlinear complex-valued signal processing such that all computations can be directly carried out in the complex domain. Th...
Tülay Adali, Hualiang Li, Mike Novey, J.-F. C...
104
Voted
ICDAR
2009
IEEE
14 years 10 months ago
Bayesian Similarity Model Estimation for Approximate Recognized Text Search
Approximate text search is a basic technique to handle recognized text that contains recognition errors. This paper proposes an approximate string search for recognized text using...
Atsuhiro Takasu