4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2017
Transform Invariant Auto-encoder
Tadashi Matsuo, Hiroya Fukuhara, Nobutaka Shimada
The auto-encoder method is a type of dimensionality reduction method. A mapping from a vector to a descriptor that represents essential information can be automatically generated f…
cs.CV2017★ 4 cited
Construction of Latent Descriptor Space and Inference Model of Hand-Object Interactions
Tadashi Matsuo, Nobutaka Shimada
Appearance-based generic object recognition is a challenging problem because all possible appearances of objects cannot be registered, especially as new objects are produced every…