Large Scale Image Classification
نویسنده
چکیده
We consider Multinomial Logistic Regression for large scale image classification. The model is trained using 1,000,000 images from Image Net Large Scale Visual Recognition Challenge 2010[2] . We train five models over different subset of sampled training observations. Finally we combine all the five models to obtain the test data classification. The combined classifier gives good performance. We use ’liblinear 1.80-6’ ( a R software package) for estimating the model parameters.
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تاریخ انتشار 2013