Papers studied in Pattern Recognition Class

BiasVariance.pdf

Context_Dependent_Pre_trained_Deep_Neural_networks_for_larg.pdf

Context_Dependent_Pre_trained_Deep_Neural_networks_for_lar.pptx

deep_boltzmann_machine.pptx

Fast_Asymmetric_Learning_for_Cascade_Face_Detection.pdf

Parallel_Tempering_is_Efficient_for_Learning_Restricted.pdf

penalized__models.pdf

violaJones_IJCV.pdf

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