José Oncina

发表

Testing Some Improvements of the Fukunaga and Narendra's Fast Nearest Neighbour Search Algorithm in a Spelling Task

Luisa Micó, Eva Gómez-Ballester, José Oncina, 2005, IbPRIA.

Stochastic Inference of Regular Tree Languages

Jorge Calera-Rubio, José Oncina, Rafael C. Carrasco, 1998, ICGI.

A fast pivot-based indexing algorithm for metric spaces

Luisa Micó, José Oncina, Raisa Socorro, 2011, Pattern Recognit. Lett..

Recognition of Pen-Based Music Notation: The HOMUS Dataset

José Oncina, Jorge Calvo-Zaragoza, J. Oncina, 2014, 2014 22nd International Conference on Pattern Recognition.

Restructuring versus Non Restructuring Insertions in MDF Indexes

Luisa Micó, José Oncina, Aureo Serrano, 2012, ICPRAM.

Extending LAESA Fast Nearest Neighbour Algorithm to Find the k Nearest Neighbours

Luisa Micó, José Oncina, Francisco Moreno-Seco, 2002, SSPR/SPR.

Identification with Probability One of Stochastic Deterministic Linear Languages

Colin de la Higuera, José Oncina, 2003, ALT.

Clustering of Strokes from Pen-Based Music Notation: An Experimental Study

José Oncina, Jorge Calvo-Zaragoza, 2015, IbPRIA.

The Data Driven Approach Applied to the OSTIA Algorithm

José Oncina, J. Oncina, 1998, ICGI.

Identifying Left-Right Deterministic Linear Languages

Jorge Calera-Rubio, José Oncina, J. Oncina, 2004, ICGI.

Using domain information during the learning of a subsequential transducer

José Oncina, Miguel Angel Varó, 1996, ICGI.

A Tabular Pruning Rule in Tree-Based Fast Nearest Neighbor Search Algorithms

Luisa Micó, Eva Gómez-Ballester, José Oncina, 2007, IbPRIA.

Learning Locally Testable Languages in the Strict Sense

Enrique Vidal, José Oncina, Pedro García, 1990, ALT.

Staff-line detection and removal using a convolutional neural network

José Oncina, Jorge Calvo-Zaragoza, Antonio Pertusa, 2017, Machine Vision and Applications.

A new classification rule based on nearest neighbour search

Luisa Micó, José Oncina, Francisco Moreno-Seco, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Learning Stochastic Finite Automata

Colin de la Higuera, José Oncina, J. Oncina, 2004, ICGI.

A log square average case algorithm to make insertions in fast similarity search

Luisa Micó, José Oncina, 2012, Pattern Recognit. Lett..

A Stochastic Approach to Median String Computation

José Oncina, Cristian Olivares-Rodríguez, 2008, SSPR/SPR.

Using Learned Conditional Distributions as Edit Distance

Marc Sebban, José Oncina, 2006, SSPR/SPR.

Extending Fast Nearest Neighbour Search Algorithms for Approximate k-NN Classification

Luisa Micó, José Oncina, Francisco Moreno-Seco, 2003, IbPRIA.

An efficient approach for Interactive Sequential Pattern Recognition

José Oncina, Jorge Calvo-Zaragoza, J. Oncina, 2017, Pattern Recognit..

A fast branch & bound nearest neighbour classifier in metric spaces

Luisa Micó, José Oncina, Rafael C. Carrasco, 1996, Pattern Recognit. Lett..

Interactive Structured Output Prediction: Application to Chromosome Classification

Enrique Vidal, José Oncina, 2011, IbPRIA.

Learning Subsequential Transducers for Pattern Recognition Interpretation Tasks

Enrique Vidal, José Oncina, Pedro García, 1993, IEEE Trans. Pattern Anal. Mach. Intell..

Computing the Expected Edit Distance from a String to a Probabilistic Finite-State Automaton

Colin de la Higuera, José Oncina, Jorge Calvo-Zaragoza, 2017, Int. J. Found. Comput. Sci..

An approximate median search algorithm in non-metric spaces

Luisa Micó, José Oncina, J. Oncina, 2001, Pattern Recognit. Lett..

SEDiL: Software for Edit Distance Learning

Marc Sebban, José Oncina, Amaury Habrard, 2008, ECML/PKDD.

A Constant Average Time Algorithm to Allow Insertions in the LAESA Fast Nearest Neighbour Search Index

Luisa Micó, José Oncina, 2010, 2010 20th International Conference on Pattern Recognition.

Approximate Nearest Neighbour Search with the Fukunaga and Narendra Algorithm and Its Application to Chromosome Classification

Luisa Micó, José Oncina, Francisco Moreno-Seco, 2003, CIARP.

On Sufficient Conditions to Identify in the Limit Classes of Grammars from Polynomial Time and Data

Colin de la Higuera, José Oncina, J. Oncina, 2002, ICGI.

A Fast Approximated k-Median Algorithm

Luisa Micó, Eva Gómez-Ballester, José Oncina, 2002, SSPR/SPR.

Learning deterministic regular grammars from stochastic samples in polynomial time

José Oncina, Rafael C. Carrasco, 1999, RAIRO Theor. Informatics Appl..

The Cocke-Younger-Kasami algorithm for cyclic strings

José Oncina, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Dynamic Insertions in TLAESA Fast NN Search Algorithm

Luisa Micó, José Oncina, 2014, 2014 22nd International Conference on Pattern Recognition.

Learning Multiplicity Tree Automata

José Oncina, Amaury Habrard, 2006, ICGI.

The most probable string: an algorithmic study

Colin de la Higuera, José Oncina, 2014, J. Log. Comput..

Inferring Deterministic Linear Languages

Colin de la Higuera, José Oncina, J. Oncina, 2002, COLT.

Learning stochastic edit distance: Application in handwritten character recognition

Marc Sebban, José Oncina, M. Sebban, 2006, Pattern Recognit..

Recognition of pen-based music notation with finite-state machines

José Oncina, Jorge Calvo-Zaragoza, J. Oncina, 2017, Expert Syst. Appl..

Optimum algorithm to minimize human interactions in sequential Computer Assisted Pattern Recognition

José Oncina, 2009, Pattern Recognit. Lett..

A Fast Approximately k -Nearest-Neighbour Search Algorithm for Classification Tasks

Luisa Micó, José Oncina, Francisco Moreno-Seco, 2000, SSPR/SPR.

Learning Stochastic Regular Grammars by Means of a State Merging Method

José Oncina, Rafael C. Carrasco, J. Oncina, 1994, ICGI.

Using Multiplicity Automata to Identify Transducer Relations from Membership and Equivalence Queries

José Oncina, 2008, ICGI.

Adaptively Learning to Recognize Symbols in Handwritten Early Music

Luisa Micó, José Oncina, José M. Iñesta, 2019, PKDD/ECML Workshops.

Combining Elimination Rules in Tree-Based Nearest Neighbor Search Algorithms

Luisa Micó, Eva Gómez-Ballester, José Oncina, 2010, SSPR/SPR.

Some approaches to improve tree-based nearest neighbour search algorithms

Luisa Micó, Eva Gómez-Ballester, José Oncina, 2006, Pattern Recognit..

Impact of the Initialization in Tree-Based Fast Similarity Search Techniques

Luisa Micó, José Oncina, Aureo Serrano, 2011, SIMBAD.

Which Fast Nearest Neighbour Search Algorithm to Use?

Luisa Micó, José Oncina, Aureo Serrano, 2013, IbPRIA.

Stochastic Inference of Regular Tree Languages

Jorge Calera-Rubio, José Oncina, Rafael C. Carrasco, 2004, Machine Learning.

A modification of the LAESA algorithm for approximated k-NN classification

Luisa Micó, José Oncina, Francisco Moreno-Seco, 2003, Pattern Recognit. Lett..

Finding the Most Probable String and the Consensus String: an Algorithmic Study

Colin de la Higuera, José Oncina, J. Oncina, 2011, IWPT.

Computing the Expected Edit Distance from a String to a PFA

Colin de la Higuera, José Oncina, Jorge Calvo-Zaragoza, 2016, CIAA.

Music staff removal with supervised pixel classification

Luisa Micó, José Oncina, Jorge Calvo-Zaragoza, 2016, International Journal on Document Analysis and Recognition (IJDAR).

Language understanding and subsequential transducer learning

Enrique Vidal, José Oncina, Miguel Angel Varó, 1993, Comput. Speech Lang..

Some Improvements in Tree Based Nearest Neighbour Search Algorithms

Luisa Micó, Eva Gómez-Ballester, José Oncina, 2003, CIARP.

Identification of DFA: data-dependent vs data-independent algorithms

Enrique Vidal, Colin de la Higuera, José Oncina, 1996, ICGI.

Experimental Analysis of Insertion Costs in a Naïve Dynamic MDF-Tree

Luisa Micó, José Oncina, J. Oncina, 2009, IbPRIA.

Comparison of fast nearest neighbour classifiers for handwritten character recognition

Luisa Micó, José Oncina, J. Oncina, 1998, Pattern Recognit. Lett..

A Pruning Rule Based on a Distance Sparse Table for Hierarchical Similarity Search Algorithms

Luisa Micó, Eva Gómez-Ballester, José Oncina, 2008, SSPR/SPR.

A new version of the nearest-neighbour approximating and eliminating search algorithm (AESA) with linear preprocessing time and memory requirements

Luisa Micó, Enrique Vidal, José Oncina, 1994, Pattern Recognit. Lett..

Computing the Most Probable String with a Probabilistic Finite State Machine

Colin de la Higuera, José Oncina, 2013, FSMNLP.

HISPAMUS: Handwritten Spanish Music Heritage Preservation by Automatic Transcription

Juan Ramón Rico-Juan, Luisa Micó, José Oncina, 2018 .