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Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

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Papers (including subtopics)

Sinusoidal Partials Tracking for Singing Analysis Using the Heuristic of the Minimal Frequency and Magnitude Difference INTERSPEECH 2017
Automatic Time-Frequency Analysis of Echolocation Signals Using the Matched Gaussian Multitaper Spectrogram INTERSPEECH 2017
Novel Shifted Real Spectrum for Exact Signal Reconstruction INTERSPEECH 2017
Exploiting Intra-Annotator Rating Consistency Through Copeland’s Method for Estimation of Ground Truth Labels in Couples’ Therapy INTERSPEECH 2017
Acoustic Analysis of Detailed Three-Dimensional Shape of the Human Nasal Cavity and Paranasal Sinuses INTERSPEECH 2017
Synthesis of VV Utterances from Muscle Activation to Sound with a 3D Model INTERSPEECH 2017
Data Augmentation, Missing Feature Mask and Kernel Classification for Through-the-Wall Acoustic Surveillance INTERSPEECH 2017
Uncertainty Decoding with Adaptive Sampling for Noise Robust DNN-Based Acoustic Modeling INTERSPEECH 2017
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks JMLR 2017
SnapVX: A Network-Based Convex Optimization Solver JMLR 2017
Persistence Images: A Stable Vector Representation of Persistent Homology JMLR 2017
On Perturbed Proximal Gradient Algorithms JMLR 2017
A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification JMLR 2017
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017
Memory Efficient Kernel Approximation JMLR 2017
On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions JMLR 2017
Certifiably Optimal Low Rank Factor Analysis JMLR 2017
Group Sparse Optimization via lp,q Regularization JMLR 2017
Online Bayesian Passive-Aggressive Learning JMLR 2017
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution JMLR 2017
Learning Local Dependence In Ordered Data JMLR 2017
Bayesian Learning of Dynamic Multilayer Networks JMLR 2017
On Markov chain Monte Carlo methods for tall data JMLR 2017
Clustering from General Pairwise Observations with Applications to Time-varying Graphs JMLR 2017
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques JMLR 2017