Get More With Less: Near Real-Time Image Clustering on Mobile Phones

9 Dec 2015Jorge OrtizChien-Chin HuangSupriyo Chakraborty

Machine learning algorithms, in conjunction with user data, hold the promise of revolutionizing the way we interact with our phones, and indeed their widespread adoption in the design of apps bear testimony to this promise. However, currently, the computationally expensive segments of the learning pipeline, such as feature extraction and model training, are offloaded to the cloud, resulting in an over-reliance on the network and under-utilization of computing resources available on mobile platforms... (read more)

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