Dictionary Learning from Ambiguously Labeled Data

no code implementations • CVPR 2013 • Yi-Chen Chen, Vishal M. Patel, Jaishanker K. Pillai, Rama Chellappa, P. J. Phillips

We propose a novel dictionary-based learning method for ambiguously labeled multiclass classification, where each training sample has multiple labels and only one of them is the correct label.

Dictionary Learning General Classification

Kernel Learning for Extrinsic Classification of Manifold Features

no code implementations • CVPR 2013 • Raviteja Vemulapalli, Jaishanker K. Pillai, Rama Chellappa

In this paper, we address the issue of kernelselection for the classification of features that lie on Riemannian manifolds using the kernel learning approach.

Activity Recognition Classification +1

Manhattan Junction Catalogue for Spatial Reasoning of Indoor Scenes

no code implementations • CVPR 2013 • Srikumar Ramalingam, Jaishanker K. Pillai, Arpit Jain, Yuichi Taguchi

In this paper, we consider the problem of detecting junctions and using them for recovering the spatial layout of an indoor scene.

Junction Detection Structured Prediction