A Large Payload Data Embedding Technique for Color Images

In the past researches, all kinds of the clustering algorithms are proposed for dealing with high dimensional data in large data sets.. Nevertheless, almost all of

“Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced?. insight and

Attractions, no matter physical or cultural, are the main pull factor of tourist flow. Without these attractions, there would be no need for other tourist

MTL – multi-task learning for STM and LM, where they share the embedding layer PSEUDO – train an STM with labeled data, generate labels for unlabeled data, and retrain STM.

structure for motion: automatic recovery of camera motion and scene structure from two or more images.. It is a self calibration technique and called automatic camera tracking

When risk factors are high and protective factors are low, proximal risk factors. (or stressors) can interact with a person’s long term or underlying

A digital color image which contains guide-tile and non-guide-tile areas is used as the input of the proposed system.. In RGB model, color images are very sensitive

For the application of large size flat panel display such as LCD TV, Notebook, Monitor etc, the correlation color temperature can be adjusted via the color image processing circuit