@inproceedings{oai:kyutech.repo.nii.ac.jp:00006177,
 author = {Nakashima, Yuuki and 中島, 祐樹 and Tan, Joo kooi and タン, ジュークイ},
 book = {2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)},
 month = {Sep},
 note = {In this paper, we propose a FTOP (Feature Transform Optimization Problem) and its solution. We propose a method to optimize both parameters and processing order of feature transform simultaneously, not limited to convolution and pooling included in CNN (Convolutional Neural Network). In order to realize the optimization, we formulate it as a combinatorial optimization problem and solve it by meta-heuristics. The effectiveness of the proposed method is shown by applying the proposed method to pedestrian classification based on a benchmark data set., SICE Annual Conference 2018 (SICE 2018), September 11–14, 2018, Nara, Japan},
 publisher = {IEEE},
 title = {Feature Transform Optimization for Pedestrian Classification},
 year = {2018}
}