conftrace_

maximum a posteriori

88 papers

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Also known as

MAP

Co-occurring keywords

bayesian inference (1907) map estimation (43) generative model (2892) convolutional neural network (4226) map inference (130) graphical model (864) diffusion model (3751) image restoration (1517) variational inference (2069) probabilistic modeling (852)

Papers

Humans do not Maximize the Probability of Correct Decision When Recognizing DANTALE Words in Noise INTERSPEECH 2017
Multiple Kernel Learning with Data Augmentation ACML 2016
Language Recognition via Sparse Coding INTERSPEECH 2016
Maximum a posteriori Based Decoding for CTC Acoustic Models INTERSPEECH 2016
On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models INTERSPEECH 2016
A Field Model for Repairing 3D Shapes CVPR 2016
Soft-Segmentation Guided Object Motion Deblurring CVPR 2016
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach PGM 2016
An equivalence between high dimensional Bayes optimal inference and M-estimation NIPS 2016
Unconstrained Salient Object Detection via Proposal Subset Optimization CVPR 2016
Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016
Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising ICCV 2015
Probabilistic Appearance Models for Segmentation and Classification ICCV 2015
IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation RSS 2015
On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014
Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014
Interval Tracker: Tracking by Interval Analysis CVPR 2014
MAP Visibility Estimation for Large-Scale Dynamic 3D Reconstruction CVPR 2014
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment NIPS 2014
Bayesian View Synthesis and Image-Based Rendering Principles CVPR 2014
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NIPS 2013
Scene Parsing by Integrating Function, Geometry and Appearance Models CVPR 2013
Exploiting the Power of Stereo Confidences CVPR 2013
Layer Depth Denoising and Completion for Structured-Light RGB-D Cameras CVPR 2013
Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories CVPR 2013