GEMTELLIGENCE: Accelerating gemstone classification with deep learning

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In the Internet of Things (IoT), the large volume of data generated by sensors poses significant computational challenges in resource-constrained environments. Most existing machine learning algorithms are unable to train a proper model using a significant ...

Identifying nuclei is often a critical first step in analyzing microscopy images of cells and classical image processing algorithms are most commonly used for this task. Recent developments in deep learning can yield superior accuracy, but typical evaluati ...

Airbnb is changing the landscape of the hospitality industry. For guests, the process of selecting a place to stay is a type of zero-acquaintance situation, and to this day little is known about the inferences that guests make about Airbnb listings. Enviro ...

In this thesis, we explore the use of machine learning techniques for information retrieval. More specifically, we focus on ad-hoc retrieval, which is concerned with searching large corpora to identify the documents relevant to user queries. This identific ...

Varied sensory systems use noise in order to enhance detection of weak signals. It has been conjectured in the literature that this effect, known as stochastic resonance, may take place in central cognitive processes such as memory retrieval of arithmetica ...

GEMTELLIGENCE: Accelerating gemstone classification with deep learning

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SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Check Out This Place: Inferring Ambiance from Airbnb Photos

Machine learning for information retrieval

Noise-enhanced computation in a model of a cortical column