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20132025
most citedKernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

259 citations · 942 across the 44 of their papers we have counts for

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Showing 2013Show all

5 papers · 1 filter

cs.CV2013

Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution

Mehrtash Harandi, Conrad Sanderson, Chunhua Shen +1

Recent advances in computer vision and machine learning suggest that a wide range of problems can be addressed more appropriately by considering non-Euclidean geometry. In this pap…

cs.LG2013★ 179 cited

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach

Mehrtash T. Harandi, Conrad Sanderson, Richard Hartley +1

Recent advances suggest that a wide range of computer vision problems can be addressed more appropriately by considering non-Euclidean geometry. This paper tackles the problem of s…

cs.CV2013★ 138 cited

Spatio-Temporal Covariance Descriptors for Action and Gesture Recognition

Andres Sanin, Conrad Sanderson, Mehrtash T. Harandi +1

We propose a new action and gesture recognition method based on spatio-temporal covariance descriptors and a weighted Riemannian locality preserving projection approach that takes…

cs.CV2013★ 13 cited

Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification

Conrad Sanderson, Mehrtash T. Harandi, Yongkang Wong +1

In contrast to comparing faces via single exemplars, matching sets of face images increases robustness and discrimination performance. Recent image set matching approaches typicall…

cs.CV2013★ 12 cited

On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly

Yongkang Wong, Mehrtash T. Harandi, Conrad Sanderson

In the field of face recognition, Sparse Representation (SR) has received considerable attention during the past few years. Most of the relevant literature focuses on holistic desc…