Abstract. The linear gating classifier (stem network) of the large scale model CombNET-II has been always the limiting factor which restricts the.

The experimental results show that the proposed model outperforms both the previous model CombNET-II and a single multiclass SVM, while presenting considerably ...

This work proposes the use of a non-linear classifier to learn the complex boundaries between the clusters, increasing the gating performance while keeping the ...

This high-accuracy gating network also enables the removal the low confidence expert networks from the decoding procedure. This, in addition to a new faster ...

Non-linear gating network for the large scale classification model CombNET-II Mauricio Kugler, Toshiyuki Miyatani, Susumu Kuroyanagi, Anto Satriyo Nugroho ...

This high-accuracy gating network also enables the removal the low confidence expert networks from the decoding procedure. This, in addition to a new faster ...

SUMMARY Modern applications of pattern recognition generate very large amounts of data, which require large computational effort o process.

Non-linear gating network for the large scale classification model CombNET-II. 14th European Symposium On Artificial Neural Networks Elsevier.

Modern applications of pattern recognition generate very large amounts of data, which require large computational effort to process.

The linear gating classifier (stem network) of the large scale model CombNET-II has been always the limiting factor which restricts the number of the expert ...