Deep Learning

Faster Ridge Regression via the Subsampled Randomized Hadamard Transform NeurIPS 2013 Fast Image Super-Resolution Based on In-Place Example Regression CVPR 2013 Fast Template Evaluation with Vector Quantization NeurIPS 2013 Fine-Grained Categorization by Alignments ICCV 2013 Firing rate predictions in optimal balanced networks NeurIPS 2013 Fully-Connected CRFs with Non-Parametric Pairwise Potential CVPR 2013 Gated Autoencoders with Tied Input Weights ICML 2013 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 Generalized Domain-Adaptive Dictionaries CVPR 2013 Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NeurIPS 2013 Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization JMLR 2013 Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NeurIPS 2013 Go-ICP: Solving 3D Registration Efficiently and Globally Optimally ICCV 2013 GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013 GRASP Recurring Patterns from a Single View CVPR 2013 Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps ICCV 2013 Groupwise Registration via Graph Shrinkage on the Image Manifold CVPR 2013 Guaranteed Sparse Recovery under Linear Transformation ICML 2013 Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream NeurIPS 2013 Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation NeurIPS 2013 Histograms of Sparse Codes for Object Detection CVPR 2013 Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation CVPR 2013 Hybrid Deep Learning for Face Verification ICCV 2013 Image Matting with Local and Nonlocal Smooth Priors CVPR 2013 Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks ICCV 2013