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Face-detection methods based on cascade architecture have demonstrated a fast and robust performance.
The input feature clusters were processed using parallel and cascade architecture with multiple input layers.
Cascade architecture for lateral control and parametric trajectory generation are used.
Their system detected pedestrians from a variety of viewpoints with a low false positive rate using multiple classifiers with cascade architecture.
This kind of logical expressions can be mapped to a special cellular architecture, called reversible wave cascade architecture.
We propose a cascade architecture of ConvNets (called CamsNet) to refine progressively the predicted bone gradients in which the ConvNets work at successively increased resolutions.
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The feedforward, fully-connected feedforward and cascade architectures are considered within.
Two alternative implementations of multi-rate cascade architectures are studied and compared with conventional single-rate continuous-time topologies, taking into account the impact of main circuit-level error mechanisms, namely: mismatch, finite dc gain and gain-bandwidth product.
In order to achieve resolutions in the range of 12 15 bit with sufficiently low oversampling ratio, we analyze the performance of a family of high-order cascade architectures in a low-voltage deep-submicron scenario.
For example, one may predict that certain signal cascade architectures dissipate information more strongly and lead to double logarithmic scaling and loss of sensitivity at certain input levels.
Figure 2 The VSN cascading architecture.
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