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Model-based Classification and Novelty Detection For Point Pattern Data
v1v2 (latest)

Model-based Classification and Novelty Detection For Point Pattern Data

International Conference on Pattern Recognition (ICPR), 2016
30 January 2017
B. Vo
Nhat-Quang Tran
Dinh Q. Phung
B. Vo
ArXiv (abs)PDFHTML

Papers citing "Model-based Classification and Novelty Detection For Point Pattern Data"

6 / 6 papers shown
Learn to Predict Sets Using Feed-Forward Neural Networks
Learn to Predict Sets Using Feed-Forward Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
H. Rezatofighi
Tianyu Zhu
Roman Kaskman
F. Motlagh
Javen Qinfeng Shi
Anton Milan
Zorah Lähner
Laura Leal-Taixé
Ian Reid
SSL
393
19
0
30 Jan 2020
Deep Perm-Set Net: Learn to predict sets with unknown permutation and
  cardinality using deep neural networks
Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks
S. Hamid Rezatofighi
Roman Kaskman
F. Motlagh
Javen Qinfeng Shi
Zorah Lähner
Laura Leal-Taixé
Ian Reid
SSL
260
25
0
02 May 2018
Joint Learning of Set Cardinality and State Distribution
Joint Learning of Set Cardinality and State Distribution
S. Hamid Rezatofighi
Anton Milan
Javen Qinfeng Shi
A. Dick
Ian Reid
SSLBDL
281
16
0
13 Sep 2017
Multiple Instance Learning with the Optimal Sub-Pattern Assignment
  Metric
Multiple Instance Learning with the Optimal Sub-Pattern Assignment Metric
Q. N. Tran
B. Vo
Dinh Q. Phung
B. Vo
Nguyen Cong Thuong
47
1
0
27 Mar 2017
Model-Based Multiple Instance Learning
Model-Based Multiple Instance Learning
B. Vo
Dinh Q. Phung
Q. N. Tran
B. Vo
223
33
0
07 Mar 2017
DeepSetNet: Predicting Sets with Deep Neural Networks
DeepSetNet: Predicting Sets with Deep Neural Networks
S. Hamid Rezatofighi
B. V. Kumar
Anton Milan
Ehsan Abbasnejad
A. Dick
Ian Reid
BDL
390
55
0
28 Nov 2016
1
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