Sentence examples for cascade learning from inspiring English sources

In the cascade learning process, samples are prepared at each stage with bootstrapping.

The main contribution is our proposed multithreading cascade learning model, which allows multiple categories of data to be simultaneously trained.

Vehicle detection systems were trained by three different approaches: the conventional cascade learning approach, the asymmetric boosting approach, and the proposed system.

The main contribution of our study is the development of a novel framework (McSURF) that can simultaneously build a cascade learning model while robustly processing a multiclass recognition application.

The cascade classifier trained employing the conventional cascade learning approach is labeled "Viola&Jones", and those trained employing the asymmetric boosting approach with the asymmetric weights of 2 and 4 are labeled "AsymBoost(W = 2)" and "AsymBoost(W = 4)", respectively.

In this paper, we propose a new learning approach for designing an incremental model that has a cascade learning structure combined with a rough and fine tuning method for the learning scheme.

Another possibility is the cascade correlation learning architecture.

Our results identifies activation of the PKA/pCREB downstream of β1-ADR in MeA as responsible signaling cascade for learning of social cues in MeA.

We first collect driving data from different individuals through a real-time graphic driving simulator that we have developed, and identify each individual's control strategy model through the flexible cascade neural network learning architecture.

nAChRs function both presynaptically to regulate neurotransmitter release and postsynaptically where they can activate intracellular signaling cascades involved in learning and memory.

This signalling cascade is critical for learning and memory and plays a crucial role in induction and maintenance of long-term potentiation in hippocampus [ 80, 81].