Search Results for author: Trung Ngo Trong

Found 6 papers, 3 papers with code

Towards Debugging Deep Neural Networks by Generating Speech Utterances

1 code implementation6 Jul 2019 Bilal Soomro, Anssi Kanervisto, Trung Ngo Trong, Ville Hautamäki

One such debugging method used with image classification DNNs is activation maximization, which generates example-images that are classified as one of the classes.

General Classification Image Classification

SISUA: Semi-Supervised Generative Autoencoder for Single Cell Data

1 code implementation ICML Workshop on Computational Biology 2019 2019 Trung Ngo Trong, Roger Kramer, Juha Mehtonen, Gerardo González, Ville Hautamäki, Merja Heinäniemi

In this study, we propose models based on the Bayesian generative approach, where protein quantification available as CITE-seq counts from the same cells are used to constrain the learning process, thus forming a semi-supervised model.

Single-cell modeling

Staircase Network: structural language identification via hierarchical attentive units

no code implementations30 Apr 2018 Trung Ngo Trong, Ville Hautamäki, Kristiina Jokinen

Language recognition system is typically trained directly to optimize classification error on the target language labels, without using the external, or meta-information in the estimation of the model parameters.

General Classification Language Identification

Fantastic 4 system for NIST 2015 Language Recognition Evaluation

no code implementations5 Feb 2016 Kong Aik Lee, Ville Hautamäki, Anthony Larcher, Wei Rao, Hanwu Sun, Trung Hieu Nguyen, Guangsen Wang, Aleksandr Sizov, Ivan Kukanov, Amir Poorjam, Trung Ngo Trong, Xiong Xiao, Cheng-Lin Xu, Hai-Hua Xu, Bin Ma, Haizhou Li, Sylvain Meignier

This article describes the systems jointly submitted by Institute for Infocomm (I$^2$R), the Laboratoire d'Informatique de l'Universit\'e du Maine (LIUM), Nanyang Technology University (NTU) and the University of Eastern Finland (UEF) for 2015 NIST Language Recognition Evaluation (LRE).


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