2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2017
Denoising random forests
Masaya Hibino, Akisato Kimura, Takayoshi Yamashita +2
This paper proposes a novel type of random forests called a denoising random forests that are robust against noises contained in test samples. Such noise-corrupted samples cause se…
cs.CV2017★ 2 cited
Binary-decomposed DCNN for accelerating computation and compressing model without retraining
Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai +3
Recent trends show recognition accuracy increasing even more profoundly. Inference process of Deep Convolutional Neural Networks (DCNN) has a large number of parameters, requires a…