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Found 3 thsd. answers for 'strategy bad image removal'.

Attentive Generative Adversarial Network for Raindrop Removal
The prob-lem gets worse when the raindrops are relatively large and distributed densely across the The strategy of a local discriminator is particularly useful if we know the regions that are likely to be Single image haze removal using dark channel prior. IEEE transactions on pat-tern analysis and...


Automatic Generation of Minimal Cut Sets
By contrast, the new approach works incrementally and fully automatically, thereby removing the tedious and error-prone manual process and resulting in signicantly reduced computation time. This in turn enables larger models to be checked.


Local Activity-tuned Image Filtering for
depth image’s discontinuities, so it has the worst. performance on boundary regions as compared with the. Since depth image has the properties of piece-wise smoothness and sharp discontinuity, we adopt the LAT-RTV rather than the LAT-RTVd for noise removal of depth image, because the...


Good Strategy, Bad Strategy—The difference and why it matters
“Good strategy has a basic underlying logic: coherent action backed up by an argument, an effective. mixture of thought and action. I call this basic underlying structure the kernel. A good strategy may consist of more than the kernel, but if the kernel is absent or misshapen, then there is a serious...


1.1 A GIS Example To illustrate the issues that can arise in processing queries with expensive meth-ods, consider the following example over the satellite image data presented in the Sequoia benchmark for Geographic Information Systems (GIS) [Stonebraker et al.


Bad Strategy
Good Strategy, Bad Strategy. SC&H Nonprofit Summit. • Strategic Plan – defining strategy or direction and making decisions to allocate resources to pursue that strategy. • Operating Plan – a detailed plan which provides a clear picture of how key areas contribute to the achievement of...


Image Repair Strategies, Local News Portrayals and
Image Repair Strategies Used By Duke University. A total of 54 communication pieces contained 61 uses of rhetorical strategy. Let me also say that as painful as these times are, the test of a school is not preventing bad things from ever happening, but in addressing them in an honest and forthright way.


DeshadowNet: A Multi-context Embedding Deep Network for Shadow...
Shadow removal is a challenging task as it requires the detection/annotation of shadows as well as semantic under-standing of the scene. In this paper, we propose an auto-matic and end-to-end deep neural network (DeshadowNet) to tackle these problems in a unied manner.


Whole Page Optimization: How Page Elements Interact with the
empirically observe for image removal, then the impact depends on the distribution of This is a lose-lose proposition—again showing that suppression is by no means a generally revenue enhancing strategy. This is seen most clearly in our nding that suppressing images is often bad for both.


Predictive Parallelization: Taming Tail Latencies in Web
Parallelizing short-running queries is a bad strategy because they do not benet from paralleliza-tion. Our evaluation compares our proposed predictive paral-lelization strategy with other parallelization strategies that do not predict query execution time to selectively parallelize long-running queries.