Near-Frustration-Free Electronic Structure Hamiltonian Representations and Lower-Bound Certificates. [PDF]
Rubin NC, Low GH, DePrince Iii AE.
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Positive Semidefinite Metric Learning with Boosting
The learning of appropriate distance metrics is a critical problem in image classification and retrieval. In this work, we propose a boosting-based technique, termed BOOSTMETRIC, for learning a Mahalanobis distance metric. One of the primary difficulties
Kim, J. +3 more
core
Phylogenetic inference under the balanced minimum evolution criterion via semidefinite programming. [PDF]
Skums P.
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A Quantum-Inspired Residual Self-Attention Network for Multimodal Sentiment Analysis. [PDF]
Liu Y, Feng X, Zhong Y.
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Large-scale semidefinite programming with graphics processing units. [PDF]
Han Q +6 more
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Siphon Calculus and Lyapunov Functions for Generalized Lotka-Volterra Systems: A Reaction Networks Perspective. [PDF]
Avram F.
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Toeplitz-Hankel Structured Covariance Reconstruction for DOA Estimation of Coherent Sources with Coprime Arrays Under Nonuniform Noise. [PDF]
Zhao H, Hu Y, Zhang Z, Zhang F.
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A Prediction-Enhanced Polynomial Kalman Filter Using Higher-Order Predictive Representations for State Estimation. [PDF]
Long J, Zhang H, Wen C.
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SINDy-Based Motion-Dependent Nonholonomic Constraint Covariance Adaptation for GNSS-Denied MEMS/INS Vehicle Navigation. [PDF]
Feng K, Wang Z, Li J, Shen S.
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Bridging Machine Learning and Algorithmic Information Theory, Part VII: Algorithmic Information Kernels and Kernel Discrepancies on Countable Spaces. [PDF]
Hamzi B, Hutter M, Owhadi H.
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