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Sparseness in functional data analysis
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Transmission tomography for high contrast media based on sparse data
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Sparse representation models and applications to bioinformatics
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Approximate query answering in unstructured peer-to-peer databases
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On the theory and applications of structured bilinear inverse problems to sparse blind deconvolution, active target localization, and delay-Doppler estimation
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Functional circuitry underlying cross-modality integration and the development of a novel sparse labeling technique
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Sparse dormitory, India, ca.1920-1940
Exploitation of sparse and low-rank structures for tracking and channel estimation
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Maximally sparse constrained optimization for signal processing applications
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Fuzzy function approximation with ellipsoidal rules
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Pupil transportation in a sparsely populated Minnesota School District
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Representation, classification and information fusion for robust and efficient multimodal human states recognition
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Efficient coding techniques for high definition video
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Novel algorithms for large scale supervised and one class learning
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Difference-of-convex learning: optimization with non-convex sparsity functions
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Knowledge-driven representations of physiological signals: developing measurable indices of non-observable behavior
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Active state tracking in heterogeneous sensor networks
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Comparative study between ART3 and stochastic inversion for an inverse problem in seismology: A proposition for the analysis of a large, sparse, linear system by ART3
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Source-specific learning and binaural cues selection techniques for audio source separation
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Feature selection in high-dimensional modeling with thresholded regression
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Inference correction in measurement error models with a complex dosimetry system
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Neighbor discovery in device-to-device communication
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Large-scale inference in multiple Gaussian graphical models
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Fast solvers in hyperspectral optical bioluminescence tomography for small animal imaging
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Biologically inspired overcomplete representation, feature extraction and object classification
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