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Enginius/Machine Learning

Papers studied in Pattern Recognition Class


1. Bias Variance.pdf
 - Trade off btw/ Bias and Variance in ANN 
 

2. Context_Dependent_Pre_trained_Deep_Neural_networks_for_large_vocabulary_speech_recognition
 - HMM combined with DNN 
 

3. deep_boltzmann_machine
 - DBM 
 

4. Fast_Asymmetric_Learning_for_Cascade_Face_Detection
 - FFS and LAC (LDA와 비슷하다.) 
 

5. Parallel_Tempering_is_Efficient_for_Learning_Restricted
 - Training RBM with PT (instead of Gibbs or CD) 
 

6. penalized__models
 - Regression Methods(LASSO, Ridge..) 

7. violaJones_IJCV
 - Face detection using Haar-like features and adaboost 
 

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