Search Results for author: D. Osaku

Found 2 papers, 0 papers with code

Convolutional Neural Network Simplification with Progressive Retraining

no code implementations12 Jan 2021 D. Osaku, J. F. Gomes, A. X. Falcão

In this letter, we present new methods based on objective and subjective relevance criteria for kernel elimination in a layer-by-layer fashion.

Automated Diagnosis of Intestinal Parasites: A new hybrid approach and its benefits

no code implementations7 Jan 2021 D. Osaku, C. F. Cuba, Celso T. N. Suzuki, J. F. Gomes, A. X. Falcão

In this work, we present a hybrid approach that combines the opinion of two decision-making systems with complementary properties: ($DS_1$) a simpler system based on very fast handcrafted image feature extraction and support vector machine classification and ($DS_2$) a more complex system based on a deep neural network, Vgg-16, for image feature extraction and classification.

Decision Making

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