… In this paper, we address visual pedestrian detection and human pose estimation with a
learning based feature representation from a speed up efficient match kernel, by mainly …

… To generate invariance, we ‘pool’ across subjects for a subject-invariant pose-selective
feature for pose estimation and ‘pool’ across poses to obtain a pose-invariant subject-selective …

… In the first approach, we explore deep spatial pyramid match kernel (DSPMK) to compute a
matching score between two varying size sets of activation maps. We also propose to explore …

… kernel and local summation kernel, respectively. It is considered that the local summation
kernel is better than the local product kernel. … , the stimulus selectivity of a Gaussian kernel is …

… kernel selectively apply such mitigations with annotations to code paths they assume to be
dangerous under speculative execution. The approach leads to incomplete protection as it …

… the kernel obtained this way has poor orientation selectivity and … -selective filters). Freeman
and Adelson have recently proposed [11, 12] to construct orientation-selective kernels that …

… match kernel for the GP prior, we use the Pyramid Match [9]. The Pyramid Match is a linear-time
kernel … measured by the optimal partial matching, and it forms a Mercer kernel. A multi-…

… and composing kernels at different layers, selective kernel network [62] with a selective kernel
… of object recognition by adaptive kernel selection in a soft-attention manner, deep spectral …

… We introduce selective search which combines the strength of … Our selective search results
in a small set of data-driven, class… In this paper we show that our selective search enables the …

… We also introduce the 3D Spatial Pyramid Matching Kernel, … efficiency of the kernel, we
propose selective hierarchical volume … dataset show that our kernels significantly outperform the …