Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Convolutional Clustering for Unsupervised Learning
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
Cluster: An unsupervised algorithm for modeling Gaussian mixtures
Ensemble Clustering via Learning Representations from Auto-Encoder
Deep Belief Networks Oriented Clustering
Improving Image Clustering With Multiple Pretrained CNN Feature Extractors
Image Clustering Using Local Discriminant Models and Global Integration
Using clustering analysis to improve semi-supervised classification
Data Clustering by Markovian Relaxation and the Information Bottleneck Method
Self-taught clustering
Active Semi-Supervision for Pairwise Constrained Clustering
Neural network-based clustering using pairwise constraints
Adaptive Ensembling of Semi-Supervised Clustering Solutions
Clustering with Bregman divergences
Unsupervised Deep Learning: A Short Review
Deep Density Clustering of Unconstrained Faces
Semi-Supervised Learning via Compact Latent Space Clustering
Data clustering: a review
Semi-supervised graph clustering: a kernel approach
Unsupervised Approach for Document Clustering Using Modified Fuzzy C mean Algorithm
Unsupervised Color-Texture Image Segmentation Based on A New Clustering Method
Histograms of oriented gradients for human detection
a neural network approch to efficient valuation of large portfolios of variable annuities .
Development in Children and Adolescents Whose Mothers Have Borderline Personality Disorder
Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data
Real AdaBoost : boosting for credit scorecards and similarity to WOE logistic regression