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researcher

André Leite

3 papers hereh-index 390 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.MM1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedLow-complexity Approximate Convolutional Neural Networks

50 citations · 95 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 50 cited

Low-complexity Approximate Convolutional Neural Networks

R. J. Cintra, S. Duffner, C. Garcia +1

In this paper, we present an approach for minimizing the computational complexity of trained Convolutional Neural Networks (ConvNet). The idea is to approximate all elements of a g…

eess.IV2018★ 28 cited

Low-complexity 8-point DCT Approximation Based on Angle Similarity for Image and Video Coding

R. S. Oliveira, R. J. Cintra, F. M. Bayer +3

The principal component analysis (PCA) is widely used for data decorrelation and dimensionality reduction. However, the use of PCA may be impractical in real-time applications, or…

cs.MM2016★ 17 cited

Energy-efficient 8-point DCT Approximations: Theory and Hardware Architectures

R. J. Cintra, F. M. Bayer, V. A. Coutinho +2

Due to its remarkable energy compaction properties, the discrete cosine transform (DCT) is employed in a multitude of compression standards, such as JPEG and H.265/HEVC. Several lo…

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