Skew detection via principal components is proposed as an effective method for images which contain other parts than text. It is shown that the negative of the image leads to much more robust results,...
Skew detection via principal components is proposed as an effective method for images which contain other parts than text. It is shown that the negative of the image leads to much more robust results,...
Recent findings suggest that a classification scheme based on an ensemble of networks is an effective way to address overfitting. We study optimal methods for training an ensemble of networks. Some re...
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processes. According to our fo...
Recent findings suggest that a classification scheme based on an ensemble of networks is an effective way to address overfitting. We study optimal methods for training an ensemble of networks. Some re...