Skip to content
conftrace_

Papers (including subtopics)

Incremental Clustering: The Case for Extra Clusters NeurIPS 2014 Incremental Learning of NCM Forests for Large-Scale Image Classification CVPR 2014 Incremental Local Gaussian Regression NeurIPS 2014 Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014 Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers NeurIPS 2014 Inferring Analogous Attributes CVPR 2014 Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit NeurIPS 2014 Inferring Unseen Views of People CVPR 2014 Influence Function Learning in Information Diffusion Networks ICML 2014 Information-Theoretic Characterization of Sparse Recovery AISTATS 2014 Interpretable Sparse High-Order Boltzmann Machines AISTATS 2014 Interval Insensitive Loss for Ordinal Classification ACML 2014 Investigating Haze-relevant Features in A Learning Framework for Image Dehazing CVPR 2014 Is Rotation a Nuisance in Shape Recognition? CVPR 2014 Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI CVPR 2014 Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis CVPR 2014 Joint Inference of Multiple Label Types in Large Networks ICML 2014 Jointly Informative Feature Selection AISTATS 2014 Joint Summarization of Large-scale Collections of Web Images and Videos for Storyline Reconstruction CVPR 2014 Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation NeurIPS 2014 Just-In-Time Learning for Fast and Flexible Inference NeurIPS 2014 Kernel Mean Estimation and Stein Effect ICML 2014 Kernel Mean Estimation via Spectral Filtering NeurIPS 2014 Kernel-PCA Analysis of Surface Normals for Shape-from-Shading CVPR 2014 K-means recovers ICA filters when independent components are sparse ICML 2014