Detecting and Ordering Salient Regions for Efficient Browsing. Larry ... tioning are shown in Table 2. 73. 3 Predicting and ordering salient regions. 74. We used ...
We describe an ensemble approach to learning salient regions from data partitioned according to the distributed processing requirements of large-scale ...
Jun 16, 2023 · We describe an ensemble approach to learning salient regions from data partitioned according to the distributed processing requirements of ...
We describe an ensemble approach to learning salient regions from data partitioned according to the distributed processing requirements of large-scale sim-.
We describe an ensemble approach to learning salient regions from data partitioned according to the distributed processing requirements of large-scale ...
This work combines a fast ensemble learning algorithm with scaled probabilistic majority voting in order to learn an accurate classifier from data ...
Abstract. We describe an ensemble approach to learning salient regions from arbitrarily partitioned data. The partitioning comes from the distributed ...
We describe an ensemble approach to learning salient regions from arbitrarily partitioned data. The partitioning comes from the distributed processing requ.
A simple method for detecting salient regions in images is proposed. It requires only edge detection, threshold decomposition, the distance transform, ...
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Jan 21, 2019 · This procedure tries to approximate the possibility that the image region that is taking more attention comes out as a salient object.
Missing: browsing. | Show results with:browsing.