Handwritten Character Recognition based on Moment Features Derived from Image Partition. - Ing Jyh Tsang; Ing Ren Tsang; Dirk Van Dyck (ICIP (2), 1998)

Image coding using neighbourhood relations. - Ing Jyh Tsang; Ing Ren Tsang; Dirk Van Dyck (Pattern Recognit. Lett., 1999)

Pattern Recognition Using Neighborhood Coding. - Ing Ren Tsang; Ing Jyh Tsang (ICIAR (1), 2006)

Neighbourhood Vector as Shape Parameter for Pattern Recognition. - Ing Ren Tsang; Ing Jyh Tsang (IJCNN, 2006)

A graph-based friend recommendation system using Genetic Algorithm. - Nitai B. Silva; Ing Ren Tsang; George D. C. Cavalcanti; Ing-Jyh Tsang (IEEE Congress on Evolutionary Computation, 2010)

Neighborhood coding for bilevel image compression and shape recognition. - Tiago Buarque Assunção de Carvalho; Denise Jaeger Tenório; Ing Ren Tsang; George Darmiton da Cunha Cavalcanti; Ing-Jyh Tsang (ICASSP, 2010)

Neighborhood coding for image representation and neighborhood operations. - Tiago Buarque Assunção de Carvalho; M. A. A. Sibaldo; Denise Jaeger Tenório; Ing Ren Tsang; George D. C. Cavalcanti; Ing Jyh Tsang (SMC, 2012)

Video colortoning. - Ing Ren Tsang; Diogo C. Lemos; Dario S. M. Pinheiro; George D. C. Cavalcanti; Ing Jyh Tsang (SMC, 2012)

Fast block-based algorithms for connected components labeling. - Diêgo J. C. Santiago; Tsang Ing Ren; George D. C. Cavalcanti; Ing Jyh Tsang (ICASSP, 2013)

A Combined Features Approach for Speaker Segmentation Using BIC and Artificial Neural Networks. - Leonardo Valeriano Neri; Tsang Ing Ren; George D. C. Cavalcanti; Ing Jyh Tsang; Jan Sijbers (SMC, 2013)

Type-2 Fuzzy GMM-UBM for Text-Independent Speaker Verification. - Hector N. B. Pinheiro; Tsang Ing Ren; George D. C. Cavalcanti; Ing Jyh Tsang; Jan Sijbers (SMC, 2013)

Motion Compensation Techniques in Permutation-Based Video Encryption. - Caio C. Sabino; Laís S. Andrade; Tsang Ing Ren; George D. C. Cavalcanti; Ing Jyh Tsang; Jan Sijbers (SMC, 2013)

Pedestrian Detection under Progressive Occlusion. - Silvio G. O. Santos; Tsang Ing Ren; George D. C. Cavalcanti; Ing Jyh Tsang; Jan Sijbers (SMC, 2013)

Fractional Eigenfaces. - Tiago Buarque Assunção de Carvalho; M. A. A. Sibaldo; Ing Ren Tsang; George D. C. Cavalcanti; Ing Jyh Tsang; Jan Sijbers (ICIP, 2014)

Type-2 Fuzzy GMMs for Robust Text-Independent Speaker Verification in Noisy Environments. - Hector N. B. Pinheiro; Tsang Ing Ren; George D. C. Cavalcanti; Ing-Jyh Tsang; Jan Sijbers (ICPR, 2014)

Efficient 2×2 block-based connected components labeling algorithms. - Diêgo J. C. Santiago; Tsang Ing Ren; George D. C. Cavalcanti; Ing Jyh Tsang (ICIP, 2015)

Pixel Clustering for Face Recognition. - Tiago Buarque Assunção de Carvalho; Maria A. A. Sibaldo; Ing Ren Tsang; George D. C. Cavalcanti; Ing Jyh Tsang; Jan Sijbers (BRACIS, 2016)

PI2: A Linearized AQM for both Classic and Scalable TCP. - Koen De Schepper; Olga Bondarenko; Ing Jyh Tsang; Bob Briscoe (CoNEXT, 2016)

Ultra-low delay for all: live experience, live analysis. - Olga Bondarenko; Koen De Schepper; Ing-Jyh Tsang; Bob Briscoe; Andreas Petlund; Carsten Griwodz (MMSys, 2016)

Reducing Internet Latency: A Survey of Techniques and Their Merits. - Bob Briscoe; Anna Brunström; Andreas Petlund; David A. Hayes; David Ros; Ing-Jyh Tsang; Stein Gjessing; Gorry Fairhurst; Carsten Griwodz; Michael Welzl (IEEE Commun. Surv. Tutorials, 2016)

IntensityPatches and RegionPatches for image recognition. - Tiago Buarque Assunção de Carvalho; Maria A. A. Sibaldo; Ing Ren Tsang; George D. C. Cavalcanti; Jan Sijbers; Ing Jyh Tsang (Appl. Soft Comput., 2018)

Deep Metric Structured Learning For Facial Expression Recognition. - Pedro D. Marrero-Fernández; Ing Ren Tsang; Ing-Jyh Tsang; Fidel A. Guerrero-Peña; Alexandre Cunha (CoRR, 2020)

U-Net Based Discriminator for Real-World Super-Resolution. - Kevin Ian Ruiz Vargas; Fidel Alejandro Guerrero Peña; Pedro Diamel Marrero Fernández; Leonardo Lanfranchi; Ing Jyh Tsang; Tsang Ing Ren (ICTAI, 2022)

Co-learning synaptic delays, weights and adaptation in spiking neural networks. - Lucas Deckers; Laurens Van Damme; Ing Jyh Tsang; Werner Van Leekwijck; Steven Latré (CoRR, 2023)

Training a Hyperdimensional Computing Classifier Using a Threshold on Its Confidence. - Laura Smets; Werner Van Leekwijck; Ing Jyh Tsang; Steven Latré (Neural Comput., 2023)

Twin Network Augmentation: A Novel Training Strategy for Improved Spiking Neural Networks and Efficient Weight Quantization. - Lucas Deckers; Benjamin Vandersmissen; Ing Jyh Tsang; Werner Van Leekwijck; Steven Latré (CoRR, 2024)

An encoding framework for binarized images using hyperdimensional computing. - Laura Smets; Werner Van Leekwijck; Ing Jyh Tsang; Steven Latré (Frontiers Big Data, 2024)

The Trifecta: Three simple techniques for training deeper Forward-Forward networks. - Thomas Dooms; Ing Jyh Tsang; José Oramas (Trans. Mach. Learn. Res., 2024)