This is a list of some of the final projects that students have completed in CS535 Machine Learning I (Pattern Recognition) course.
Fall 2014
| Project Title |
|---|
| Passive TV Detection using Mobile Phones |
| Distributed Probabilistic Learning for Camera Network: A Bayesian Framework |
| Digit Recognizer |
| Forest Cover Type Prediction |
| AdaBoosting N-Gram Weak Hypotheses for Sentiment Analysis on Movie Reviews |
| Bike Sharing Demand: Forecast use of a city bikeshare system |
| Identify Characters from Google Street View Pictures |
| Distributed approximate kernel principal components analysis |
| Distributed Compression, PCA and Information Theory |
| Kaggle: Modeling a Real-Life Random Forest |
| Distributed Probabilistic Learning with Adaptive Network Topology |
| Noisy Input Gaussian Process with Ordering Constraints |
| Facial Keypoints Detection |
Fall 2016
| Project Title |
|---|
| Multimodal LSTM-RBM Music Composer |
| A Survey of Some Popular Subspace Clustering Methods and Their Applications on Computer Vision Tasks |
| Diversity Driven Review Ranking |
| Multimodal RGB-D Image Prediction Using Deep Autoencoder and Deep Belief Network |
| Joint Image-Text Clustering using Deep Neural Networks |
| Dynamic Topic Modelling using LDA |
| Learning a Joint Model of Images and Tags |
| Sparse Subspace Clustering: Basis Pursuit Versus Orthogonal Matching Pursuit |
| Intelligent Deception Detection System Based on Multimodal Deep Learning |
| Adapted Online VEM algorithm on general structure in massive networks |
| A Probabilistic Topic Models Based Music Recommendation System |
| Dynamic Topic Modeling : Election competition analysis using Twitter |
| Dynamic Topic Modeling for Spatio-Temporal Monitoring Using Online Text and Image Data |
| Motion Segmentation Via Subspace Clustering |
| Multimodal Deep Learning for Gesture and Audio Data |
| Massive Documents Analysis Platform by LDA Based on Distributed Computing Framework and Web Spyder |
| Applying Latent Dirichlet Allocation (LDA) and Hierarchical Latent Dirichlet Allocation (hLDA) for Probabilistic Topic Modeling |
| An Alternative Approach to Mitigate the Curse of Dimensionality |
| LDA and PLSA Implementation on Web Documents Topics Defined |
| Dynamic Topic Modeling for Monitoring Yelp Business Competition from Reviews |