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 |
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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 |
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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 |