Luís G. Rueda

21 papers B 2C 2Misc 1Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2005 — conf
A New Approach to Automatically Detecting Grids in DNA Microarray Images.
ICIAR
Luís G. Rueda, Vidya Vidyadharan
2005 — conf
A New Method for DNA Microarray Image Segmentation.
ICIAR
Luís G. Rueda, Li Qin
2005 J jnl
A formal analysis of why heuristic functions work.
Artif. Intell.
B. John Oommen, Luís G. Rueda
2005 — conf
Efficient Adaptive Data Compression Using Fano Binary Search Trees.
ISCIS
Luís G. Rueda, B. John Oommen
2005 Misc conf
On Utilizing Stochastic Learning Weak Estimators for Training and Classification of Patterns with Non-stationary Distributions.
KI
B. John Oommen, Luís G. Rueda
2004 — conf
A New Family of Weak Estimators for Training in Non-stationary Distributions.
SSPR/SPR
B. John Oommen, Luís G. Rueda
2004 J jnl
A nearly-optimal Fano-based coding algorithm.
Inf. Process. Manag.
Luís G. Rueda, B. John Oommen
2004 — conf
An Improved Clustering-Based Approach for DNA Microarray Image Segmentation.
ICIAR (2)
Luís G. Rueda, Li Qin
2004 J jnl
An efficient approach to compute the threshold for multi-dimensional linear classifiers.
Pattern Recognit.
Luís G. Rueda
2004 C conf
New Bounds and Approximations for the Error of Linear Classifiers.
CIARP
Luís G. Rueda
2004 — conf
On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data.
ADVIS
Luís G. Rueda, B. John Oommen
2004 J jnl
Selecting the best hyperplane in the framework of optimal pairwise linear classifiers.
Pattern Recognit. Lett.
Luís G. Rueda
2003 C conf
A New Approach That Selects a Single Hyperplane from the Optimal Pairwise Linear Classifier.
CIARP
Luís G. Rueda
2003 — conf
An Empirical Analysis of Traditional and Optimal Pairwise Linear Classifiers on Standard Benchmarks.
PRIS
Luís G. Rueda
2003 J jnl
On optimal pairwise linear classifiers for normal distributions: the d-dimensional case.
Pattern Recognit.
Luís G. Rueda, B. John Oommen
2002 J jnl
On Optimal Pairwise Linear Classifiers for Normal Distributions: The Two-Dimensional Case.
IEEE Trans. Pattern Anal. Mach. Intell.
Luís G. Rueda, B. John Oommen
2002 J jnl
The Efficiency of Histogram-like Techniques for Database Query Optimization.
Comput. J.
B. John Oommen, Luís G. Rueda
2002 — conf
Using Pattern Recognition Techniques to Derive a Formal Analysis of Why Heuristics Functions Work.
PRIS
B. John Oommen, Luís G. Rueda
2001 B conf
Enhanced static Fano coding.
SMC
Luís G. Rueda, B. John Oommen
2001 B conf
Histogram Methods in Query Optimization: The Relation between Accuracy and Optimality.
DASFAA
B. John Oommen, Luís G. Rueda
2001 — conf
Resolving Minsky's Paradox: The d-Dimensional Normal Distribution Case.
Australian Joint Conference on Artificial Intelligence
Luís G. Rueda, B. John Oommen