Alvina Goh

According to our database, Alvina Goh authored at least 25 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Classifying Multimodal Data Using Transformers.

Watson W. K. Chua, Lu Li, Alvina Goh

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2015

Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images.

Santiago Velasco-Forero, Marcus Chen, Alvina Goh, Sze Kim Pang

IEEE J. Sel. Top. Signal Process., 2015

Low-resource keyword search strategies for tamil.

Nancy F. Chen, Chongjia Ni, I-Fan Chen, Sunil Sivadas, Van Tung Pham, Haihua Xu, Xiong Xiao, Tze Siong Lau, Su Jun Leow, Boon Pang Lim, Cheung-Chi Leung, Lei Wang, Chin-Hui Lee, Alvina Goh, Engsiong Chng, Bin Ma, Haizhou Li

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Geodesic regression on orientation distribution functions with its application to an aging study.

Jia Du, Alvina Goh, Sergey Kushnarev, Anqi Qiu

NeuroImage, 2014

A comparative analysis of covariance matrix estimation in anomaly detection.

Santiago Velasco-Forero, Marcus Chen, Alvina Goh, Sze Kim Pang

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Anomaly detection and important bands selection for hyperspectral images via sparse PCA.

Santiago Velasco-Forero, Marcus Chen, Alvina Goh, Sze Kim Pang

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

2013

A Diffusion Process on Riemannian Manifold for Visual Tracking

Marcus Chen, Cham Tat Jen, Sze Kim Pang, Alvina Goh

CoRR, 2013

Bayesian Estimation of White Matter Atlas from High Angular Resolution Diffusion Imaging.

Jia Du, Alvina Goh, Anqi Qiu

CoRR, 2013

Bayesian Atlas Estimation from High Angular Resolution Diffusion Imaging (HARDI).

Jia Du, Alvina Goh, Anqi Qiu

Proceedings of the Geometric Science of Information - First International Conference, 2013

2012

Diffeomorphic Metric Mapping of High Angular Resolution Diffusion Imaging Based on Riemannian Structure of Orientation Distribution Functions.

Jia Du, Alvina Goh, Anqi Qiu

IEEE Trans. Medical Imaging, 2012

A new confidence measure combining Hidden Markov Models and Artificial Neural Networks of phonemes for effective keyword spotting.

Su Jun Leow, Tze Siong Lau, Alvina Goh, Han Meng Peh, Teck Khim Ng, Sabato Marco Siniscalchi, Chin-Hui Lee

Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, 2012

2011

Locally Linear Diffeomorphic Metric Embedding (LLDME) for surface-based anatomical shape modeling.

Xianfeng Yang, Alvina Goh, Anqi Qiu

NeuroImage, 2011

A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry.

Alvina Goh, Christophe Lenglet, Paul M. Thompson, René Vidal

NeuroImage, 2011

Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom.

Pierre Fillard, Maxime Descoteaux, Alvina Goh, Sylvain Gouttard, Ben Jeurissen, James Malcolm, Alonso Ramirez-Manzanares, Marco Reisert, Ken E. Sakaie, Fatima Tensaouti, Ting Yo, Jean-François Mangin, Cyril Poupon

NeuroImage, 2011

Approximations of the Diffeomorphic Metric and Their Applications in Shape Learning.

Xianfeng Yang, Alvina Goh, Anqi Qiu

Proceedings of the Information Processing in Medical Imaging, 2011

Large Deformation Diffeomorphic Metric Mapping of Orientation Distribution Functions.

Jia Du, Alvina Goh, Anqi Qiu

Proceedings of the Information Processing in Medical Imaging, 2011

Visual tracking with generative template model based on Riemannian manifold of covariances.

Marcus Chen, Sze Kim Pang, Cham Tat Jen, Alvina Goh

Proceedings of the 14th International Conference on Information Fusion, 2011

2009

Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity.

Alvina Goh, Christophe Lenglet, Paul M. Thompson, René Vidal

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

A nonparametric Riemannian framework for processing high angular resolution diffusion images (HARDI).

Alvina Goh, Christophe Lenglet, Paul M. Thompson, René Vidal

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Unsupervised Riemannian Clustering of Probability Density Functions.

Alvina Goh, René Vidal

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Segmenting Fiber Bundles in Diffusion Tensor Images.

Alvina Goh, René Vidal

Proceedings of the Computer Vision, 2008

Clustering and dimensionality reduction on Riemannian manifolds.

Alvina Goh, René Vidal

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Segmenting Motions of Different Types by Unsupervised Manifold Clustering.

Alvina Goh, René Vidal

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

An algebraic solution to rigid registration of diffusion tensor images.

Alvina Goh, René Vidal

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images.

Alvina Goh, René Vidal

Proceedings of the Computer Vision, 2006