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Object detection from Background Scene Using t-SNE-ORB Gradient Boost
unpublished
Object Classification using Gradient Boost is a robust mechanism used for computer vision problem domain. The acceleration of t-SNE-an embedding technique that is commonly used for the visualization of high-dimensional data in scatter plots-using two tree-based algorithms. In particular, the paper develops variants of the Barnes-Hut algorithm and of the dual-tree algorithm that approximate the gradient used for learning t-SNE embeddings in O (NlogN).Complex background adds challenge and error
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