Luis Rueda

Luís G. Rueda

2008
39		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
2007
38		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
37	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
36	EE	Luis Rueda: Sub-grid Detection in DNA Microarray Images. PSIVT 2007: 248-259
2006
35	EE	Munish Chopra, Miguel Vargas Martin, Luis Rueda, Patrick C. K. Hung: Toward New Paradigms to Combating Internet Child Pornography. CCECE 2006: 1012-1015
34	EE	Luis Rueda, Myriam Herrera: A Theoretical Comparison of Two Linear Dimensionality Reduction Techniques. CIARP 2006: 624-633
33	EE	Luis Rueda, Myriam Herrera: A New Approach to Multi-class Linear Dimensionality Reduction. CIARP 2006: 634-643
32	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
31	EE	Ataul Bari, Luis Rueda: A New Profile Alignment Method for Clustering Gene Expression Data. Canadian Conference on AI 2006: 86-97
30	EE	Luis Rueda, Myriam Herrera: A New Linear Dimensionality Reduction Technique Based on Chernoff Distance. IBERAMIA-SBIA 2006: 299-308
29	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)
28	EE	Luis Rueda, B. John Oommen: A fast and efficient nearly-optimal adaptive Fano coding scheme. Inf. Sci. 176(12): 1656-1683 (2006)
27	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)
26	EE	Luis Rueda, Yuanquan Zhang: Geometric visualization of clusters obtained from fuzzy clustering algorithms. Pattern Recognition 39(8): 1415-1429 (2006)
2005
25	EE	Leon French, Alioune Ngom, Luis Rueda: Fast Protein Superfamily Classification Using Principal Component Null Space Analysis. Canadian Conference on AI 2005: 158-169
24	EE	Luís G. Rueda, Li Qin: A New Method for DNA Microarray Image Segmentation. ICIAR 2005: 886-893
23	EE	Luís G. Rueda, Vidya Vidyadharan: A New Approach to Automatically Detecting Grids in DNA Microarray Images. ICIAR 2005: 982-989
22	EE	Luís G. Rueda, B. John Oommen: Efficient Adaptive Data Compression Using Fano Binary Search Trees. ISCIS 2005: 768-779
21	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
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

Coauthor Index

1	Mohammed Liakat Ali	[32]
2	Ataul Bari	[31]
3	Munish Chopra	[35]
4	Leon French	[25]
5	Myriam Herrera	[30] [32] [33] [34]
6	Patrick C. K. Hung	[35]
7	Josef Kittler	[39]
8	Miguel Vargas Martin	[35]
9	Domingo Mery	[38] [39]
10	Alioune Ngom	[16] [25]
11	B. John Oommen	[1] [2] [3] [4] [5] [6] [7] [8] [13] [14] [18] [20] [21] [22] [27] [28]
12	Li Qin	[15] [24]
13	Jaime Rodriguez	[37]
14	Omar Uyarte	[37]
15	Sofia Valenzuela	[37]
16	Vidya Vidyadharan	[23] [29]
17	Yuanquan Zhang	[26]

Colors in the list of coauthors