4 citations · 9 across the 5 of their papers we have counts for
5 papers
Multiple Instance Learning with the Optimal Sub-Pattern Assignment Metric
Quang N. Tran, Ba-Ngu Vo, Dinh Phung +2
Multiple instance data are sets or multi-sets of unordered elements. Using metrics or distances for sets, we propose an approach to several multiple instance learning tasks, such a…
Multi-Sensor Multi-object Tracking with the Generalized Labeled Multi-Bernoulli Filter
Ba Ngu Vo, Ba Tuong Vo
This paper proposes an efficient implementation of the multi-sensor generalized labeled multi-Bernoulli (GLMB) filter. The solution exploits the GLMB joint prediction and update to…
Clustering For Point Pattern Data
Quang N. Tran, Ba-Ngu Vo, Dinh Phung +1
Clustering is one of the most common unsupervised learning tasks in machine learning and data mining. Clustering algorithms have been used in a plethora of applications across seve…
Model-based Classification and Novelty Detection For Point Pattern Data
Ba-Ngu Vo, Quang N. Tran, Dinh Phung +1
Point patterns are sets or multi-sets of unordered elements that can be found in numerous data sources. However, in data analysis tasks such as classification and novelty detection…
A Generalized Labeled Multi-Bernoulli Filter Implementation using Gibbs Sampling
Hung Gia Hoang, Ba-Tuong Vo, Ba-Ngu Vo
This paper proposes an efficient implementation of the generalized labeled multi-Bernoulli (GLMB) filter by combining the prediction and update into a single step. In contrast to t…