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CVPR
2006
IEEE
15 years 3 months ago
Estimating Intrinsic Component Images using Non-Linear Regression
Images can be represented as the composition of multiple intrinsic component images, such as shading, albedo, and noise images. In this paper, we present a method for estimating i...
Marshall F. Tappen, Edward H. Adelson, William T. ...
MCS
2000
Springer
15 years 1 months ago
Combining Fisher Linear Discriminants for Dissimilarity Representations
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
Elzbieta Pekalska, Marina Skurichina, Robert P. W....
SAS
2004
Springer
136views Formal Methods» more  SAS 2004»
15 years 3 months ago
Constraint-Based Linear-Relations Analysis
Abstract. Linear-relations analysis of transition systems discovers linear invariant relationships among the variables of the system. These relationships help establish important s...
Sriram Sankaranarayanan, Henny B. Sipma, Zohar Man...
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
15 years 1 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
110
Voted
ECML
2007
Springer
15 years 3 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen