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Robust Subspace Clustering via Thresholding
TLDR
We propose a simple low-complexity subspace clustering algorithm, which applies spectral clustering to an adjacency matrix obtained by thresholding the correlations between data points. Expand
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Robust chemical preservation of digital information on DNA in silica with error-correcting codes.
TLDR
Information, such as text printed on paper or images projected onto microfilm, can survive for over 500 years. Expand
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Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
TLDR
We propose an untrained simple image model, called the deep decoder, which is a deep neural network that can generate natural images from very few weight parameters. Expand
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Active Ranking from Pairwise Comparisons and when Parametric Assumptions Don't Help
We consider sequential or active ranking of a set of n items based on noisy pairwise comparisons. Items are ranked according to the probability that a given item beats a randomly chosen item, andExpand
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Super-Resolution Radar
TLDR
In this paper we study the identication of a time-varying linear system from its response to a known input signal. Expand
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DiffuserCam: Lensless Single-exposure 3D Imaging
TLDR
We present DiffuserCam, a lensless imager that uses a diffuser to encode the 3D intensity of volumetric objects into a single 2D image. Expand
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Dimensionality-reduced subspace clustering
TLDR
We analyze the impact of dimensionality reduction through random projection on the performance of three subspace clustering algorithms, all of which are based on principles from sparse signal recovery. Expand
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Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering
TLDR
We consider the problem of generating interpretable recommendations by identifying overlapping co-clusters of clients and products, based only on positive or implicit feedback. Expand
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Fundamental limits of DNA storage systems
TLDR
We study the fundamental limits and tradeoffs of DNA-based storage systems under a simple model motivated by current technological constraints on DNA synthesis and sequencing. Expand
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Subspace clustering via thresholding and spectral clustering
TLDR
We propose a simple and low-complexity clustering algorithm based on thresholding the correlations between the data points followed by spectral clustering. Expand
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