Year |
Title |
Author |

2016 |
An Intention-Topic Model Based on Verbs Clustering and Short Texts Topic Mining |
T Lu, S Hou, Z Chen, L Cui, L Zhang |

2016 |
Speaker Identification And Clustering Using Convolutional Neural Networks |
Y Lukic, C Vogt, O Dürr, T Stadelmann |

2016 |
Building energy modeling (BEM) using clustering algorithms and semi-supervised machine learning approaches |
H Naganathan, WO Chong, X Chen |

2016 |
Clustering Based Feature Learning on Variable Stars |
C Mackenzie, K Pichara, P Protopapas |

2016 |
Deep Belief Networks Oriented Clustering |
Q Yang, H Wang, T Li, Y Yang |

2016 |
Clustering Non-Stationary Data Streams with Online Deep Learning |
A Hontabat, M Rising |

2016 |
Fast image clustering based on convolutional neural network and binary K-means |
S Ke, Y Zhao, B Li, Z Wu, X Liu |

2016 |
Extracting Bottlenecks for Reinforcement Learning Agent by Holonic Concept Clustering and Attentional Functions |
B Ghazanfari, N Mozayani |

2016 |
A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks |
T Ma, F Wang, J Cheng, Y Yu, X Chen |

2016 |
Single-Channel Multi-Speaker Separation using Deep Clustering |
Y Isik, JL Roux, Z Chen, S Watanabe, JR Hershey |

2016 |
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering |
B Yang, X Fu, ND Sidiropoulos, M Hong |

2016 |
A Personalized Markov Clustering and Deep Learning Approach for Arabic Text Categorization |
V Jindal |

2016 |
Clustering the seoul metropolitan area by travel patterns based on a deep belief network |
G Han, K Sohn |

2016 |
An Empirical Investigation of Word Clustering Techniques for Natural Language Understanding |
DA Shunmugam, P Archana |

2016 |
Infinite Ensemble for Image Clustering |
H Liu, M Shao, S Li, Y Fu |

2015 |
Theoretical Analysis-based Distributed Load Balancing over Dynamic Overlay Clustering |
H Lee, B Kwon, S Kim, I Lee, S Lee |

2015 |
Competitive and Penalized Clustering Auto-encoder |
Z Wang, Y Cheung |

2015 |
Learning A Task-Specific Deep Architecture For Clustering |
Z Wang, S Chang, J Zhou, TS Huang |

2015 |
Pedestrian detection in thermal images using adaptive fuzzy C-means clustering and convolutional neural networks |
V John, S Mita, Z Liu, B Qi |

2015 |
Active Learning with Clustering and Unsupervised Feature Learning |
S Berardo, E Favero, N Neto |

2015 |
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation |
T Hope, A Wagner, O Zuk |

2015 |
Neuron Clustering for Mitigating Catastrophic Forgetting in Supervised and Reinforcement Learning |
BF Goodrich |

2015 |
Clustering Data of Mixed Categorical and Numerical Type with Unsupervised Feature Learning |
D Lam, M Wei, D Wunsch |

2015 |
Semi-supervised Hierarchical Clustering Ensemble and Its Application |
W Xiao, Y Yang, H Wang, T Li, H Xing |

2015 |
FaceNet: A Unified Embedding for Face Recognition and Clustering |
F Schroff, D Kalenichenko, J Philbin |

2015 |
Deep Transductive Semi-supervised Maximum Margin Clustering |
G Chen |

2015 |
Max-Entropy Feed-Forward Clustering Neural Network |
H Xiao, X Zhu |

2015 |
Overview of the ImageCLEF 2015 medical clustering task |
MA Amin, MK Mohammed |

2015 |
Joint Image Clustering and Labeling by Matrix Factorization |
S Hong, J Choi, J Feyereisl, B Han, LS Davis |

2015 |
Combining deep learning and unsupervised clustering to improve scene recognition performance |
A Kappeler, RD Morris, AR Kamat, N Rasiwasia |

2015 |
Experimental Study of Unsupervised Feature Learning for HEp-2 Cell Images Clustering |
Y Zhao, Z Gao, L Wang, L Zhou |

2015 |
Soft context clustering for F0 modeling in HMM-based speech synthesis |
S Khorram, H Sameti, S King |

2015 |
Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition |
S Vajda, Y Rangoni, H Cecotti |

2015 |
Language discrimination and clustering via a neural network approach |
A Mariano, G Parisi, S Pascazio |

2015 |
Active Distance-Based Clustering using K-medoids |
A Aghaee, M Ghadiri, MS Baghshah |

2015 |
Convolutional Clustering for Unsupervised Learning |
A Dundar, J Jin, E Culurciello |

2015 |
Deep Learning with Nonparametric Clustering |
G Chen |

2015 |
Multi-view clustering via structured low-rank representation |
D Wang, Q Yin, R He, L Wang, T Tan |

2014 |
A Convex Formulation for Spectral Shrunk Clustering |
X Chang, F Nie, Z Ma, Y Yang, X Zhou |

2014 |
Ghent University-iMinds at MediaEval 2014 Diverse Images: Adaptive Clustering with Deep Features |
B Vandersmissen, A Tomar, F Godin, W De Neve |

2014 |
Features in Concert: Discriminative Feature Selection meets Unsupervised Clustering |
M Leordeanu, A Radu, R Sukthankar |

2014 |
Deep Embedding Network for Clustering |
P Huang, Y Huang, W Wang, L Wang |

2014 |
SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering |
H Zhao, P Poupart, Y Zhang, M Lysy |