Jorge F. Silva

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 35

Top Topics

Compressed Sensing

Hypothesis Test

Sequential Monte Carlo Methods

Top Venues

IEEE Trans. Inf. Theory

Publications

Jorge F. Silva, Victor Faraggi, Camilo Ramírez, Alvaro Egaña, Eduardo Pavez
Understanding Encoder-Decoder Structures in Machine Learning Using Information Measures. CoRR (2024)
Camilo Ramírez, Jorge F. Silva, Ferhat Tamssaouet, Tomás Rojas, Marcos E. Orchard
Fault Detection and Monitoring using an Information-Driven Strategy: Method, Theory, and Application. CoRR (2024)
Sebastian Espinosa, Jorge F. Silva, Sandra Céspedes
A Survey on Error Exponents in Distributed Hypothesis Testing: Connections with Information Theory, Interpretations, and Applications. Entropy 26 (7) (2024)
Felipe A. Tobar, Arnaud Robert, Jorge F. Silva
Gaussian process deconvolution. CoRR (2023)
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
A Data-Driven Quantization Design for Distributed Testing Against Independence with Communication Constraints. ICASSP (2022)
Jorge F. Silva, Pablo Piantanida
On Universal D-Semifaithful Coding for Memoryless Sources With Infinite Alphabets. IEEE Trans. Inf. Theory 68 (4) (2022)
Mauricio E. Gonzalez, Jorge F. Silva, Miguel Videla, Marcos E. Orchard
Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection With Mutual Information Estimation. IEEE Trans. Signal Process. 70 (2022)
Christopher P. Ley, Jorge F. Silva
Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection. CoRR (2022)
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
On the Exponential Approximation of Type II Error Probability of Distributed Test of Independence. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
Finite-Length Bounds on Hypothesis Testing Subject to Vanishing Type I Error Restrictions. CoRR (2021)
Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva
Data Science for Engineers: A Teaching Ecosystem. CoRR (2021)
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
Finite-Length Bounds on Hypothesis Testing Subject to Vanishing Type I Error Restrictions. IEEE Signal Process. Lett. 28 (2021)
Jorge F. Silva, Pablo Piantanida
On Universal D-Semifaithful Coding for Memoryless Sources with Infinite Alphabets. CoRR (2021)
Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva
Data Science for Engineers: A Teaching Ecosystem. IEEE Signal Process. Mag. 38 (3) (2021)
Jorge F. Silva, Felipe A. Tobar, Mario Vicuña, Felipe Cordova
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification. CoRR (2021)
Mauricio E. Gonzalez, Jorge F. Silva, Miguel Videla, Marcos E. Orchard
Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection with Mutual Information Estimation. CoRR (2021)
Jorge F. Silva, Pablo Piantanida
Universal Weak Variable-Length Source Coding on Countably Infinite Alphabets. IEEE Trans. Inf. Theory 66 (1) (2020)
Mauricio E. Gonzalez, Jorge F. Silva
Data-Driven Representations for Testing Independence: A Connection with Mutual Information Estimation. ISIT (2020)
Jorge F. Silva
A Compressibility Result for AMS Processes. GlobalSIP (2019)
Andrea Vidal, Jorge F. Silva, Carlos Busso
Discriminative Features for Texture Retrieval Using Wavelet Packets. IEEE Access 7 (2019)
Jorge F. Silva, Pablo Piantanida
Universal D-Semifaithfull Coding for Countably Infinite Alphabets. ISIT (2019)
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
New Results on Testing Against Independence with Rate-Limited Constraints. GlobalSIP (2019)
Felipe A. Tobar, Iván Castro, Jorge F. Silva, Marcos E. Orchard
Improving battery voltage prediction in an electric bicycle using altitude measurements and kernel adaptive filters. Pattern Recognit. Lett. 105 (2018)
Jorge F. Silva, Milan S. Derpich
Fixed-Rate Universal Lossy Source Coding and Model Identification: Connection with Zero-Rate Density Estimation and the Skeleton Estimator. Entropy 20 (9) (2018)
Jorge F. Silva
Shannon Entropy Estimation in ∞-Alphabets from Convergence Results: Studying Plug-In Estimators. Entropy 20 (6) (2018)
Jorge F. Silva
Shannon Entropy Estimation in ∞-Alphabets from Convergence Results. CoRR (2017)
Jorge F. Silva, Pablo Piantanida
Universal Weak Variable-Length Source Coding on Countable Infinite Alphabets. CoRR (2017)
Jorge F. Silva, Pablo Piantanida
The redundancy gains of almost lossless universal source coding over envelope families. ISIT (2017)
Alex Echeverria, Jorge F. Silva, R. A. Mendez, Marcos E. Orchard
Analysis of the Bayesian Cramér-Rao in astrometry. SAM (2016)
Jorge F. Silva, Pablo Piantanida
Almost lossless variable-length source coding on countably infinite alphabets. ISIT (2016)
Hernán Calderón, Felipe Santibanez, Jorge F. Silva, Julián M. Ortiz, Alvaro Egaña
Channelized facies recovery based on weighted compressed sensing. SAM (2016)
Marcos E. Orchard, Matias S. Lacalle, Benjamín E. Olivares, Jorge F. Silva, Rodrigo Palma-Behnke, Pablo A. Estévez, Bernardo Severino, Williams Calderon-Munoz, Marcelo Cortes-Carmona
Information-Theoretic Measures and Sequential Monte Carlo Methods for Detection of Regeneration Phenomena in the Degradation of Lithium-Ion Battery Cells. IEEE Trans. Reliab. 64 (2) (2015)
Daniel A. Pola, Hugo F. Navarrete, Marcos E. Orchard, Ricardo S. Rabie, Matías A. Cerda Munoz, Benjamín E. Olivares, Jorge F. Silva, Pablo A. Espinoza, Aramis Pérez
Particle-Filtering-Based Discharge Time Prognosis for Lithium-Ion Batteries With a Statistical Characterization of Use Profiles. IEEE Trans. Reliab. 64 (2) (2015)
Hernán Calderón, Jorge F. Silva, Julián M. Ortiz, Alvaro Egaña
Reconstruction of channelized geological facies based on RIPless compressed sensing. Comput. Geosci. 77 (2015)
Jorge F. Silva, Milan S. Derpich
-Compressible Ergodic Sequences. IEEE Trans. Signal Process. 63 (11) (2015)
Jorge F. Silva, Milan S. Derpich
Precise best k-term approximation error analysis of ergodic processes. ISIT (2014)
Benjamín E. Olivares, Matías A. Cerda Munoz, Marcos E. Orchard, Jorge F. Silva
Particle-Filtering-Based Prognosis Framework for Energy Storage Devices With a Statistical Characterization of State-of-Health Regeneration Phenomena. IEEE Trans. Instrum. Meas. 62 (2) (2013)
Jorge F. Silva, Patricio Parada
Shannon entropy estimation from convergence results in the countable alphabet case. ITW (2013)
Jorge F. Silva, Eduardo Pavez
Compressibility of infinite sequences and its interplay with compressed sensing recovery. APSIPA (2012)
Jorge F. Silva, Shrikanth S. Narayanan
On signal representations within the Bayes decision framework. Pattern Recognit. 45 (5) (2012)
Eduardo Pavez, Jorge F. Silva
Analysis and design of Wavelet-Packet Cepstral coefficients for automatic speech recognition. Speech Commun. 54 (6) (2012)
Jorge F. Silva, Patricio Parada
Shannon entropy convergence results in the countable infinite case. ISIT (2012)
Jorge F. Silva, Shrikanth S. Narayanan
Complexity-Regularized Tree-Structured Partition for Mutual Information Estimation. IEEE Trans. Inf. Theory 58 (3) (2012)
Jorge F. Silva, Patricio Parada
Sufficient conditions for the convergence of the Shannon differential entropy. ITW (2011)
Jorge F. Silva, Milan S. Derpich
Necessary and sufficient conditions for zero-rate density estimation. ITW (2011)
Jorge F. Silva, Shrikanth S. Narayanan
Nonproduct data-dependent partitions for mutual information estimation: strong consistency and applications. IEEE Trans. Signal Process. 58 (7) (2010)
Jorge F. Silva, Shrikanth S. Narayanan
A near-optimal (minimax) tree-structured partition for mutual information estimation. ISIT (2010)
Jorge F. Silva, Shrikanth S. Narayanan
On data-driven histogram-based estimation for mutual information. ISIT (2010)
Shrikanth S. Narayanan, Jorge F. Silva
Histogram-based estimation for the divergence revisited. ISIT (2009)
Jorge F. Silva, Shrikanth S. Narayanan
Discriminative wavelet packet filter bank selection for pattern recognition. IEEE Trans. Signal Process. 57 (5) (2009)
Jorge F. Silva, Shrikanth S. Narayanan
Upper Bound Kullback-Leibler Divergence for Transient Hidden Markov Models. IEEE Trans. Signal Process. 56 (9) (2008)
Jorge F. Silva, Vivek Kumar Rangarajan Sridhar, Viktor Rozgic, Shrikanth S. Narayanan
Information Theoretic Analysis of Direct Articulatory Measurements for Phonetic Discrimination. ICASSP (4) (2007)
Jorge F. Silva, Shrikanth S. Narayanan
Universal Consistency of Data-Driven Partitions for Divergence Estimation. ISIT (2007)
Jorge F. Silva, Shrikanth S. Narayanan
Optimal Wavelet Packets Decomposition Based on a Rate-Distortion Optimality Criterion. ICASSP (3) (2007)
Ciprian Chelba, Jorge F. Silva, Alex Acero
Soft indexing of speech content for search in spoken documents. Comput. Speech Lang. 21 (3) (2007)
Néstor Becerra Yoma, Carlos Molina, Jorge F. Silva, Carlos Busso
Modeling, estimating, and compensating low-bit rate coding distortion in speech recognition. IEEE Trans. Speech Audio Process. 14 (1) (2006)
Abe Kazemzadeh, Joseph Tepperman, Jorge F. Silva, Hong You, Sungbok Lee, Abeer Alwan, Shrikanth S. Narayanan
Automatic detection of voice onset time contrasts for use in pronunciation assessment. INTERSPEECH (2006)
Joseph Tepperman, Jorge F. Silva, Abe Kazemzadeh, Hong You, Sungbok Lee, Abeer Alwan, Shrikanth S. Narayanan
Pronunciation verification of children²s speech for automatic literacy assessment. INTERSPEECH (2006)
Jorge F. Silva, Ciprian Chelba, Alex Acero
Integration of Metadata in spoken Document Search Using Position Specific Posterior latices. SLT (2006)
Jorge F. Silva, Ciprian Chelba, Alex Acero
Pruning Analysis for the Position Specific Posterior Lattices for Spoken Document Search. ICASSP (1) (2006)
Jorge F. Silva, Shrikanth S. Narayanan
Upper Bound Kullback-Leibler Divergence for Hidden Markov Models with Application as Discrimination Measure for Speech Recognition. ISIT (2006)
Jorge F. Silva, Shrikanth S. Narayanan
A statistical discrimination measure for hidden Markov models based on divergence. INTERSPEECH (2004)
Néstor Becerra Yoma, Ivan Brito, Jorge F. Silva
Language model accuracy and uncertainty in noise cancelling in the stochastic weighted viterbi algorithm. INTERSPEECH (2003)
Néstor Becerra Yoma, Jorge F. Silva
Speaker adaptation of output probabilities and state duration distributions for speech recognition. INTERSPEECH (2001)