Luís G. Rueda
List of publications from the
| 2008 |
|---|
| 48 | | Luis Rueda,
Domingo Mery,
Josef Kittler:
Progress in Pattern Recognition, Image Analysis and Applications, 12th Iberoamericann Congress on Pattern Recognition, CIARP 2007, Valparaiso, Chile, November 13-16, 2007, Proceedings
Springer 2008 |
| 47 | EE | Luis Rueda,
Claudio Henríquez,
B. John Oommen:
Chernoff-Based Multi-class Pairwise Linear Dimensionality Reduction.
CIARP 2008: 301-308 |
| 46 | EE | Lili Wang,
Alioune Ngom,
Robin Gras,
Luis Rueda:
Evolution strategy with greedy probe selection heuristics for the non-unique oligonucleotide probe selection problem.
CIBCB 2008: 54-61 |
| 45 | EE | Lili Wang,
Alioune Ngom,
Luis Rueda:
Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem.
PRIB 2008: 262-275 |
| 44 | EE | Luis Rueda:
An Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly Sampled Histograms.
SSPR/SPR 2008: 602-611 |
| 43 | EE | Luis Rueda,
B. John Oommen:
An efficient compression scheme for data communication which uses a new family of self-organizing binary search trees.
Int. J. Communication Systems 21(10): 1091-1120 (2008) |
| 42 | EE | Luis Rueda,
Myriam Herrera:
Linear dimensionality reduction by maximizing the Chernoff distance in the transformed space.
Pattern Recognition 41(10): 3138-3152 (2008) |
| 41 | EE | Luis Rueda,
Myriam Herrera:
A theoretical comparison of two-class Fisher's and heteroscedastic linear dimensionality reduction schemes.
Pattern Recognition Letters 29(16): 2092-2098 (2008) |
| 2007 |
|---|
| 40 | | Domingo Mery,
Luis Rueda:
Advances in Image and Video Technology, Second Pacific Rim Symposium, PSIVT 2007, Santiago, Chile, December 17-19, 2007, Proceedings
Springer 2007 |
| 39 | EE | Luis Rueda,
Omar Uyarte,
Sofia Valenzuela,
Jaime Rodriguez:
Processing Random Amplified Polymorphysm DNA Images Using the Radon Transform and Mathematical Morphology.
ICIAR 2007: 1071-1081 |
| 38 | EE | Luis Rueda:
Sub-grid Detection in DNA Microarray Images.
PSIVT 2007: 248-259 |
| 2006 |
|---|
| 37 | EE | Munish Chopra,
Miguel Vargas Martin,
Luis Rueda,
Patrick C. K. Hung:
Toward New Paradigms to Combating Internet Child Pornography.
CCECE 2006: 1012-1015 |
| 36 | EE | Luis Rueda,
Myriam Herrera:
A Theoretical Comparison of Two Linear Dimensionality Reduction Techniques.
CIARP 2006: 624-633 |
| 35 | EE | Luis Rueda,
Myriam Herrera:
A New Approach to Multi-class Linear Dimensionality Reduction.
CIARP 2006: 634-643 |
| 34 | EE | Mohammed Liakat Ali,
Luis Rueda,
Myriam Herrera:
On the Performance of Chernoff-Distance-Based Linear Dimensionality Reduction Techniques.
Canadian Conference on AI 2006: 467-478 |
| 33 | EE | Ataul Bari,
Luis Rueda:
A New Profile Alignment Method for Clustering Gene Expression Data.
Canadian Conference on AI 2006: 86-97 |
| 32 | EE | Luis Rueda,
Myriam Herrera:
A New Linear Dimensionality Reduction Technique Based on Chernoff Distance.
IBERAMIA-SBIA 2006: 299-308 |
| 31 | EE | Luis Rueda,
Vidya Vidyadharan:
A Hill-Climbing Approach for Automatic Gridding of cDNA Microarray Images.
IEEE/ACM Trans. Comput. Biology Bioinform. 3(1): 72-83 (2006) |
| 30 | EE | Luis Rueda,
B. John Oommen:
A fast and efficient nearly-optimal adaptive Fano coding scheme.
Inf. Sci. 176(12): 1656-1683 (2006) |
| 29 | EE | B. John Oommen,
Luis Rueda:
Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments.
Pattern Recognition 39(3): 328-341 (2006) |
| 28 | EE | Luis Rueda,
Yuanquan Zhang:
Geometric visualization of clusters obtained from fuzzy clustering algorithms.
Pattern Recognition 39(8): 1415-1429 (2006) |
| 2005 |
|---|
| 27 | EE | Leon French,
Alioune Ngom,
Luis Rueda:
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis.
Canadian Conference on AI 2005: 158-169 |
| 26 | EE | Luís G. Rueda,
Li Qin:
A New Method for DNA Microarray Image Segmentation.
ICIAR 2005: 886-893 |
| 25 | EE | Luís G. Rueda,
Vidya Vidyadharan:
A New Approach to Automatically Detecting Grids in DNA Microarray Images.
ICIAR 2005: 982-989 |
| 24 | EE | Luís G. Rueda,
B. John Oommen:
Efficient Adaptive Data Compression Using Fano Binary Search Trees.
ISCIS 2005: 768-779 |
| 23 | EE | B. John Oommen,
Luís G. Rueda:
On Utilizing Stochastic Learning Weak Estimators for Training and Classification of Patterns with Non-stationary Distributions.
KI 2005: 107-120 |
| 22 | EE | Yuanquan Zhang,
Luis Rueda:
A geometric framework to visualize fuzzy-clustered data.
SCCC 2005: 13-20 |
| 21 | EE | Wei Yang,
Luis Rueda,
Alioune Ngom:
A simulated annealing approach to find the optimal parameters for fuzzy clustering microarray data.
SCCC 2005: 45-54 |
| 20 | EE | B. John Oommen,
Luís G. Rueda:
A formal analysis of why heuristic functions work.
Artif. Intell. 164(1-2): 1-22 (2005) |
| 19 | EE | Luis Rueda:
A one-dimensional analysis for the probability of error of linear classifiers for normally distributed classes.
Pattern Recognition 38(8): 1197-1207 (2005) |
| 2004 |
|---|
| 18 | EE | Luís G. Rueda,
B. John Oommen:
On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data.
ADVIS 2004: 234-244 |
| 17 | EE | Luís G. Rueda:
New Bounds and Approximations for the Error of Linear Classifiers.
CIARP 2004: 342-349 |
| 16 | | Luis Rueda,
Alioune Ngom:
An Empirical Evaluation of the Classification Error of Two Thresholding Methods for Fisher's Classifier.
IC-AI 2004: 837-842 |
| 15 | EE | Luís G. Rueda,
Li Qin:
An Improved Clustering-Based Approach for DNA Microarray Image Segmentation.
ICIAR (2) 2004: 17-24 |
| 14 | EE | B. John Oommen,
Luís G. Rueda:
A New Family of Weak Estimators for Training in Non-stationary Distributions.
SSPR/SPR 2004: 644-652 |
| 13 | EE | Luís G. Rueda,
B. John Oommen:
A nearly-optimal Fano-based coding algorithm.
Inf. Process. Manage. 40(2): 257-268 (2004) |
| 12 | EE | Luís G. Rueda:
An efficient approach to compute the threshold for multi-dimensional linear classifiers.
Pattern Recognition 37(4): 811-826 (2004) |
| 11 | EE | Luís G. Rueda:
Selecting the best hyperplane in the framework of optimal pairwise linear classifiers.
Pattern Recognition Letters 25(1): 49-62 (2004) |
| 2003 |
|---|
| 10 | EE | Luís G. Rueda:
A New Approach That Selects a Single Hyperplane from the Optimal Pairwise Linear Classifier.
CIARP 2003: 521-528 |
| 9 | | Luís G. Rueda:
An Empirical Analysis of Traditional and Optimal Pairwise Linear Classifiers on Standard Benchmarks.
PRIS 2003: 88-95 |
| 8 | EE | Luís G. Rueda,
B. John Oommen:
On optimal pairwise linear classifiers for normal distributions: the d-dimensional case.
Pattern Recognition 36(1): 13-23 (2003) |
| 2002 |
|---|
| 7 | | B. John Oommen,
Luís G. Rueda:
Using Pattern Recognition Techniques to Derive a Formal Analysis of Why Heuristics Functions Work.
PRIS 2002: 45-58 |
| 6 | EE | B. John Oommen,
Luís G. Rueda:
The Efficiency of Histogram-like Techniques for Database Query Optimization.
Comput. J. 45(5): 494-510 (2002) |
| 5 | EE | Luís G. Rueda,
B. John Oommen:
On Optimal Pairwise Linear Classifiers for Normal Distributions: The Two-Dimensional Case.
IEEE Trans. Pattern Anal. Mach. Intell. 24(2): 274-280 (2002) |
| 2001 |
|---|
| 4 | EE | Luís G. Rueda,
B. John Oommen:
Resolving Minsky's Paradox: The d-Dimensional Normal Distribution Case.
Australian Joint Conference on Artificial Intelligence 2001: 25-36 |
| 3 | | B. John Oommen,
Luís G. Rueda:
Histogram Methods in Query Optimization: The Relation between Accuracy and Optimality.
DASFAA 2001: 320-326 |
| 2000 |
|---|
| 2 | | B. John Oommen,
Luis Rueda:
An Empirical Comparison of Histogram-Like Techniques for Query Optimization.
ICEIS 2000: 71-78 |
| 1 | EE | Luis Rueda,
B. John Oommen:
The Foundational Theory of Optimal Bayesian Pairwise Linear Classifiers.
SSPR/SPR 2000: 581-590 |
