Bruno Cernuschi-Frías

50 papers A* 3B 3C 2Misc 4Journal 27Unranked 11
YearRankTypeTitle / Venue / Authors
2020 J jnl
Convergence of p-Stable Random Fractional Wavelet Series and Some of Its Properties.
IEEE Trans. Inf. Theory
Juan Miguel Medina, Fernando Ruben Dobarro, Bruno Cernuschi-Frías
2019 J jnl
Pattern Recognition in SAR Images using Fractional Random Fields and its Possible Application to the Problem of the Detection of Oil Spills in Open Sea.
CoRR
Agustín Mailing, Segundo A. Molina, José Luis Hamkalo, Fernando Ruben Dobarro, Juan Miguel Medina, Bruno Cernuschi-Frías, Daniel A. Fernández, Érica Schlaps
2018 J jnl
On the Papoulis Sampling Theorem: Some General Conditions.
IEEE Trans. Inf. Theory
Juan Miguel Medina, Bruno Cernuschi-Frías
2017 J jnl
Barankin Vector Locally Best Unbiased Estimates.
CoRR
Bruno Cernuschi-Frías
2015 J jnl
Analysis and Comparison of Biased Affine Estimators.
IEEE Trans. Signal Process.
Fernando Gama, Daniel Casaglia, Bruno Cernuschi-Frías
2014 J jnl
Deepest Minimum Criterion for Biased Affine Estimation.
IEEE Trans. Signal Process.
Bruno Cernuschi-Frías, Fernando Gama, Daniel Casaglia
2013 J jnl
Equivalence Between Representations for Samplable Stochastic Processes and its Relationship With Riesz Bases.
IEEE Trans. Inf. Theory
Juan Miguel Medina, Bruno Cernuschi-Frías
2013 J jnl
Motion Textures: Modeling, Classification, and Segmentation Using Mixed-State Markov Random Fields.
SIAM J. Imaging Sci.
Tomás Crivelli, Bruno Cernuschi-Frías, Patrick Bouthemy, Jian-Feng Yao
2011 J jnl
A method for mixed states texture segmentation with simultaneous parameter estimation.
Pattern Recognit. Lett.
Agustin Mailing, Bruno Cernuschi-Frías
2011 J jnl
Correction to "On the Prediction of a Class of Wide-Sense Stationary Random Processes" [Jan 11 70-77].
IEEE Trans. Signal Process.
Juan Miguel Medina, Bruno Cernuschi-Frías
2011 J jnl
On the Prediction of a Class of Wide-Sense Stationary Random Processes.
IEEE Trans. Signal Process.
Juan Miguel Medina, Bruno Cernuschi-Frías
2011 J jnl
Simultaneous Motion Detection and Background Reconstruction with a Conditional Mixed-State Markov Random Field.
Int. J. Comput. Vis.
Tomás Crivelli, Patrick Bouthemy, Bruno Cernuschi-Frías, Jian-Feng Yao
2011 J jnl
Wide Sense Stationary Processes Forming Frames.
IEEE Trans. Inf. Theory
Juan Miguel Medina, Bruno Cernuschi-Frías
2010 J jnl
Mixed-state causal modeling for statistical KL-based motion texture tracking.
Pattern Recognit. Lett.
Tomás Crivelli, Bruno Cernuschi-Frías, Patrick Bouthemy, Jian-Feng Yao
2010 — conf
Model Distribution Dependant Complexity Estimation on Textures.
ISVC (3)
Agustin Mailing, Tomás Crivelli, Bruno Cernuschi-Frías
2010 C conf
Stationary sequences and stable sampling.
ISITA
Juan Miguel Medina, Bruno Cernuschi-Frías
2009 — conf
Learning mixed-state Markov models for statistical motion texture tracking.
ICCV Workshops
Tomás Crivelli, Patrick Bouthemy, Bruno Cernuschi-Frías, Jian-Feng Yao
2008 — conf
Recognition of Dynamic Video Contents Based on Motion Texture Statistical Models.
VISAPP (1)
Tomás Crivelli, Bruno Cernuschi-Frías, Patrick Bouthemy, Jian-Feng Yao
2008 — conf
Simultaneous Motion Detection and Background Reconstruction with a Mixed-State Conditional Markov Random Field.
ECCV (1)
Tomás Crivelli, Gwenaëlle Piriou, Patrick Bouthemy, Bruno Cernuschi-Frías, Jian-Feng Yao
2008 Misc conf
Temporal modeling of motion textures with mixed-sates Markov chains.
ICASSP
Tomás Crivelli, Bruno Cernuschi-Frías, Patrick Bouthemy, Jian-Feng Yao
2006 B conf
Mixed-State Markov Random Fields for Motion Texture Modeling and Segmentation.
ICIP
Tomás Crivelli, Bruno Cernuschi-Frías, Patrick Bouthemy, Jian-Feng Yao
2006 B conf
Random series in L
ITW
Juan Miguel Medina, Bruno Cernuschi-Frías
2005 J jnl
A synthesis of a 1/f process via Sobolev spaces and fractional integration.
IEEE Trans. Inf. Theory
Juan Miguel Medina, Bruno Cernuschi-Frías
2005 J jnl
Conditional filters for image sequence-based tracking - application to point tracking.
IEEE Trans. Image Process.
Elise Arnaud, Étienne Mémin, Bruno Cernuschi-Frías
2004 J jnl
A Shared-Way Set Associative On-Chip Cache.
Int. J. Comput. Their Appl.
José Luis Hamkalo, Andrés Djordjalian, Bruno Cernuschi-Frías
2004 — conf
Analysis of explicit regularization in affine projection algorithms: Robustness and optimal choice.
EUSIPCO
Hernan G. Rey, Leonardo Rey Vega, Sara Tressens, Bruno Cernuschi-Frías
2002 J jnl
A nonparametric nonstationary procedure for failure prediction.
IEEE Trans. Reliab.
Jonás D. Pfefferman, Bruno Cernuschi-Frías
2002 B conf
A relationship between fractional integration and 1/|ω|
ITW
Juan Miguel Medina, Bruno Cernuschi-Frías
2001 — conf
A combinatorial generalization of the Stirling Numbers of the second kind.
ICECS
Bruno Cernuschi-Frías
2001 Misc conf
A shared-way set associative architecture for on-chip caches.
CATA
José Luis Hamkalo, Andrés Djordjalian, Bruno Cernuschi-Frías
2001 — conf
Analysis of cache memory strategies for some image processing applications.
ICIP (3)
Bruno Cernuschi-Frías, José Luis Hamkalo, Jonás D. Pfefferman, Hernán Gonzalez
2000 C conf
A parallel algorithm for the diagonalization of symmetric matrices.
ISCAS
Bruno Cernuschi-Frías, Sergio E. Lew, Hernán J. González, Jonás D. Pfefferman
2000 Misc conf
An Application of the Chains-of-Rare-Events Model to Software Development Failure Prediction.
Ada-Europe
Néstor R. Barraza, Jonás D. Pfefferman, Bruno Cernuschi-Frías, Félix Cernuschi
2000 J jnl
Correction to "partial simultaneous updating in Hopfield memories".
IEEE Trans. Syst. Man Cybern. Part B
Bruno Cernuschi-Frías
2000 — conf
On Learning Mean Values in Hopfield Associative Memories Trained with Noisy Examples Using the Hebb Rule.
IJCNN (4)
Bruno Cernuschi-Frías, Enrique Carlos Segura
1999 — conf
An improved search algorithm for fractal image compression.
ICECS
Jonás D. Pfefferman, Pablo E. Cingolani, Bruno Cernuschi-Frías
1997 J jnl
A neural network model of memory under stress.
IEEE Trans. Syst. Man Cybern. Part B
Bruno Cernuschi-Frías, Rafael A. García, B. Silvano Zanutto
1997 — conf
On the Estimation of the Probability Distribution of a Non-Stationary Source for Lossless Data Compression.
ICIP (2)
Jonás D. Pfefferman, Herman J. Gonzalez, Bruno Cernuschi-Frías
1996 J jnl
Applications and extensions of the chains-of-rare-events model.
IEEE Trans. Reliab.
Néstor R. Barraza, Bruno Cernuschi-Frías, Félix Cernuschi
1996 — conf
Generation of single image stereograms based on stochastic textures.
ICIP (3)
Herman J. Gonzalez, Bruno Cernuschi-Frías
1991 J jnl
A derivation of the Gohberg-Semencul relation [signal analysis].
IEEE Trans. Signal Process.
Bruno Cernuschi-Frías
1991 J jnl
Asymptotic bayesian surface estimation using an image sequence.
Int. J. Comput. Vis.
Yi-Ping Hung, David B. Cooper, Bruno Cernuschi-Frías
1989 J jnl
Partial simultaneous updating in Hopfield memories.
IEEE Trans. Syst. Man Cybern.
Bruno Cernuschi-Frías
1989 J jnl
Toward a Model-Based Bayesian Theory for Estimating and Recognizing Parameterized 3-D Objects Using Two or More Images Taken from Different Positions.
IEEE Trans. Pattern Anal. Mach. Intell.
Bruno Cernuschi-Frías, David B. Cooper, Yi-Ping Hung, Peter N. Belhumeur
1988 A* conf
Bayesian estimation of 3D surfaces from a sequence of images.
ICRA
Yi-Ping Hung, David B. Cooper, Bruno Cernuschi-Frías
1988 J jnl
On the exact maximum likelihood estimation of Gaussian autoregressive processes.
IEEE Trans. Acoust. Speech Signal Process.
Bruno Cernuschi-Frías, John D. Rogers
1986 A* conf
3-D object position estimation and recognition based on parameterized surfaces and multiple views.
ICRA
Bruno Cernuschi-Frías, Peter N. Belhumeur, David B. Cooper
1984 J jnl
3-D Space Location and Orientation Parameter Estimation of Lambertian Spheres and Cylinders From a Single 2-D Image By Fitting Lines and Ellipses to Thresholded Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Bruno Cernuschi-Frías, David B. Cooper
1983 A* conf
A New Conceptually Attractive and Computationally Effective Approach to Shape From Shading.
IJCAI
Bruno Cernuschi-Frías, Ruud M. Bolle, David B. Cooper
1983 Misc conf
Fast parallel image processing for robot vision for the purpose of extracting information about objects.
ICASSP
Ruud M. Bolle, Bruno Cernuschi-Frías, David B. Cooper