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Apr 3, 2017 · In this letter, we propose sparsity-based coherent and noncoherent dictionaries for action recognition. First, the input data are divided ...
Abstract—In this paper, we propose sparsity based coherent and non-coherent dictionary for action recognition. First, the in- put data is divided into ...
propose sparsity based coherent and non-coherent dictionary for action recognition ... dictionaries which are learned by online dictionary learning (ODL).
Apr 12, 2017 · Abstract—In this letter, we propose sparsity-based coherent and noncoherent dictionaries for action recognition. First, the input.
In this paper, we propose sparsity based coherent and non-coherent dictionary for action recognition. First, the input data is divided into different ...
Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information · Coherent and Noncoherent Dictionaries for Action Recognition.
Sep 27, 2022 · JOINT ACTIVITY DETECTION AND DECODING OF MTDS. A. Non-coherent Decoding of MTDs. Non-coherent signal recovery promises to reduce the access ...
Jun 30, 2022 · 1) A task-driven joint dictionary learning framework is formulated under the joint sparse constraint for multi-view human action recognition, ...
Missing: Coherent | Show results with:Coherent
In this paper, we propose sparsity based coherent and non-coherent dictionary for action recognition. ... coherent group belong to noncoherent group of each ...
We present an approach to jointly learn a set of view- specific dictionaries and a common dictionary for cross- view action recognition.
Missing: Coherent | Show results with:Coherent