463 citations · 5.1k across the 190 of their papers we have counts for
6 papers · 1 filter
Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements
Francesco Renna, Robert Calderbank, Lawrence Carin +1
This paper determines to within a single measurement the minimum number of measurements required to successfully reconstruct a signal drawn from a Gaussian mixture model in the low…
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture
Trevor Campbell, Miao Liu, Brian Kulis +2
This paper presents a novel algorithm, based upon the dependent Dirichlet process mixture model (DDPMM), for clustering batch-sequential data containing an unknown number of evolvi…
Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning & Mixture Modeling
David E. Carlson, Joshua T. Vogelstein, Qisong Wu +7
We propose a construction for joint feature learning and clustering of multichannel extracellular electrophysiological data across multiple recording periods for action potential d…
Coded aperture compressive temporal imaging
Patrick Llull, Xuejun Liao, Xin Yuan +5
We use mechanical translation of a coded aperture for code division multiple access compression of video. We present experimental results for reconstruction at 148 frames per coded…
Adaptive Temporal Compressive Sensing for Video
Xin Yuan, Jianbo Yang, Patrick Llull +4
This paper introduces the concept of adaptive temporal compressive sensing (CS) for video. We propose a CS algorithm to adapt the compression ratio based on the scene's temporal co…
Generalized Bregman Divergence and Gradient of Mutual Information for Vector Poisson Channels
Liming Wang, Miguel Rodrigues, Lawrence Carin
We investigate connections between information-theoretic and estimation-theoretic quantities in vector Poisson channel models. In particular, we generalize the gradient of mutual i…