Projects in Fall 2002

Instructor: Mike Jordan
  1. Inference of Internet Link Stability from Routing Updates
  2. Prediction of Transmembrane Proteins
  3. Spam Filtering using Graphical Models
  4. Surface Integrability via Belief Propagation
  5. Pricing Barrier Options with Graphical Models
  6. Taxonomy of Graph Triangulation Methods
  7. Shape from Polka Dots
  8. Health Monitoring for Structural Systems
  9. Human Motion Classification
  10. Analysis of Semiconductor Defectivity Data - An Application of Graphical Model Formalism to Quality Control
  11. Modeling E-customer Behavior using a Mixture of Markov Chains
  12. Modeling Jazz Music
  13. Naive Bayes Prediction of Workstation Failures
  14. Estimating Link Characteristics from End-to-End Measurements
  15. Variable Length Markov Chains
  16. Approximation Algorithms for Clustering
  17. Using Unlabeled Data for Naive Bayes Classifier
  18. Bayesian Network of Gene Expression using Biologically-Motivated Priors
  19. Flight Status Classification using HMMs
  20. English Verb Classification with Mixture Models
  21. Gibbs Sampling and EM for Motif Finding in Biological Sequences
  22. A SSM of the Temporal Control of Complex Movements
  23. Generalized Belief Propagation and Free Energy Minimization
  24. Emotion Inference
  25. Topic Extraction from News Photo Captions
  26. A Bayesian Interpretation of Ontologies
  27. Approaches to Time Series Classification
  28. Application of One-class SVM on Sudden Oak Death in California
  29. Context-Aware Word Prediction
  30. Mixture Output SSM with Application to Sensor Fault Detection
  31. Application of Clustering Algorithm in Anti-Spam for Email
  32. Power Analysis Against Randomized Addition-Subtraction Chains
  33. Efficient IPF -- A Different Approach
  34. Evaluating Classifier Techniques for Medical Claims Negotiations
  35. Estimating the Number of Clusters in 2D Data Sets
  36. Parameter Estimation of Skeletons
  37. Clustering for Surface Reconstruction
  38. Bounded Loss Network Flows
  39. Augmenting Support Vector Machines via Coordinate Descent
  40. Probabilistic CCA
  41. Loss Prediction in Overlay Networks
  42. Using Factor Analysis and Modified PCA to Compress Hyperspectral Image
  43. Appications of Computer Vision
  44. Visuomotor Tracking
  45. Using Throughput Independence for Detecting Shared Bottlenecks in Networks
  46. Learning Finite Automata for Specification Mining
  47. Estimation of Thermal Sensation Complaint Levels for Building Occupants: Using the EM algorithm and Results from Level-Crossing Theory
  48. Various KF Algorithms for a 16 state non-linear helicopter model
  49. Relational Models for Cold-Start Collaborative Filtering
  50. Human Motion Classification
  51. Email Sort
  52. Unsuppervised Word Sense Disambiguation using a Thesaurus
  53. Increasing Usability in Physical Interaction Builders through Filters
  54. On Concentration of Expectations in GLIMs and Approximate Inference in Multi-layer Networks
  55. A Graphical Model for Statistical Population Genetics
  56. Experiments with Discriminative Variable Memory Markov Models for Text Classification
  57. Estimating the Arrival Rate for a Poisson Process with Unreliable Sensor Data
  58. Delay Modeling of Low Voltage CMOS Circuit
  59. Budget Deficit Cuts: A HMM with Mixture Emisions Approach
  60. Irregular Repeat-Accumulate Codes
  61. Data Preplacement
  62. LDPC Codes Can Achieve The Slepian Wolf Bound
  63. Signal Peptide Prediction Using HMM Clustering
  64. Quantifying Privacy in Sensor Networks
  65. Discriminating Cloud over Ice using MISR Data
  66. PRMs
  67. Damage Detection of Structures by Linear Classification
  68. Coordination of Factor Analyzers
  69. Pairwise Independence Varieties
  70. Highway Traffic State Estimation Using Switching Kalman Filters
  71. Clustering on Gene Expression Data
  72. Error Analysis of 3-D Pose Estimation for Simultaneous Localization and Mapping with One Camera
  73. Flow Classification for Traffic Engineering in Internet
  74. Optical Network Failure Diagnosis Using Graphic Models
  75. Regression for Data with Rounding Error
  76. Stereo using Loopy Belief Propagation
  77. Online Handwriting Text Drawing Classification

Projects in Fall 2003

Instructor: Peter Bartlett
  1. Speaker clustering using the bayesian info criterion
  2. Linear regression as distributed inference
  3. Combining semantic and feature based information for co
  4. Prediction of structural RNA genes through computational
  5. Localization of robots via particle filters on line sensor da
  6. Implementation of the metropolis light transport alg
  7. Factored MDPs
  8. LSA, PLSA for SL modeling in speech recognition
  9. Motion estimation and segmentation in images
  10. I/O HMMs, comparison to other models, and apps in time
  11. Detection of eukaryotic regulatory modules using HMMs
  12. Using MCMC methods for bayesian phylogenetic inference
  13. Graphical models for recognizing deformable objects
  14. Belief propagation for random k-sat.
  15. Global and local techniques for nonlinear dimensionality re
  16. Adaptive protection environment
  17. Prediction of structural RNA genes through computational
  18. Information geometry interpretations of SLT Methods
  19. augmented markov chains for protein secondary struct
  20. Low discrepancy sequences and learning
  21. Adaptive protection environment
  22. Inference for relational web page classification
  23. Graphical models for game theory
  24. Mean time to data loss with conditional independence
  25. A naive bayes spam filter
  26. Nonlinear dimensionality reduction on human facial exp
  27. HMM for network traffic anomaly detection
  28. Applications of SVMs in bioinformatics
  29. Graphical models in robust part of speech tagging
  30. Classification of magnetic sensor vehicle data using SVMs
  31. SNP modelling
  32. Radar and rain guage data assimilation
  33. unsupervised clustering
  34. Learning evaluation functions to improve gaussian mixture model parameter est
  35. Application of conditional mixtures on the transferability study of land
  36. surface m
  37. probabilistic framework for decision of tunnel support
  38. Survey of new techniques in nonlinear dimensionality reduction
  39. Model selection methods and phylogenetic inference
  40. Directed graphical model selection
  41. Variations on the theme of survey propagation: a non-physicists perspective
  42. Mutual information calculation on graphical models
  43. Kalman filtering and HCCI engine modelling
  44. Nucleotide substitution models
  45. PCFG EM
  46. applications of semidefinite programming to problems in SLT