Exact(1)
The Astex diverse dataset [24], comprising high resolution protein ligand complexes with drug like molecules and pharmaceutically relevant protein targets, was used to validate the PADIF approach for pose prediction.
Similar(59)
Approaches for pose normalization [7, 9, 10] use either 2D or 3D warping and often rely on the output from the detector to guide the selection of warp parameters.
The molecular docking approach was considered for pose analysis and scoring; in addition ligand based strategies were employed for pharmacophore mapping and similarity search.
In this paper, a novel approach for head pose estimation in gray-level images is presented.
We introduce a hierarchical part-based approach for human pose estimation in static images.
There are several approaches for human pose estimation.
Our experiments demonstrate the superiority of the proposed SLDML over several current state-of-art approaches for head pose estimation on the publicly available FacePix dataset.
However, this proposed approach does pose problems for current resuscitation policies.
This paper describes a novel, laser-based approach for tracking the pose of a high-speed mobile robot.
We combine the proposed feature extractors with an approach for classification of pose sequences based on string kernels.
We propose a novel approach for articulated hand pose estimation from a single depth image using a very deep convolutional network.
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