Pretraining boosts out-of-domain robustness for pose estimation
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Two classes of dynamical recurrent neural networks, Continuous Time Recurrent Neural Networks (CTRNNs) (Yamauchi and Beer, 1994) and Plastic Neural Networks (PNNs) (Floreano and Urzelai, 2000) are compared on two behavioral tasks aimed at exploring their c ...
In the current Internet, there is no clean way for affected parties to react to poor forwarding performance: to detect and assess Service Level Agreement (SLA) violations by a contractual partner, a domain must resort to ad-hoc monitoring using probes. Ins ...
In the current Internet, there is no clean way for affected parties to react to poor forwarding performance: to detect and assess Service Level Agreement (SLA) violations by a contractual partner, a domain must resort to ad-hoc monitoring using probes. Ins ...
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We present an implementation and laboratory tests of a winner takes all (WTA) artificial neural network (NN) on two microcontrollers (μC) with the ARM Cortex M3 and the AVR cores. The prospective application of this device is in wireless body sensor networ ...
School of Engineering, The University of Waikato2010
This paper investigates a neural network based acoustic feature mapping to extract robust features for automatic speech recognition (ASR) of overlapping speech. In our preliminary studies, we trained neural networks to learn the mapping from log mel filter ...
Theoretically, the normalized plasma pressure (beta) at which a neoclassical tearing mode (NTM) is triggered is expected to depend on normalized Larmor radius (rho*) and normalized collisionality (nu), and this has formed the basis for the way in which NTM ...
In this paper, we present a simple yet effective way to improve a face verification system by generating multiple virtual samples from the unique image corresponding to an access request. These images are generated using simple geometric transformations. T ...
In this paper, we present a simple yet effective way to improve a face verification system by generating multiple virtual samples from the unique image corresponding to an access request. These images are generated using simple geometric transformations. T ...