A Context Based Deep Temporal Embedding Network in Action Recognition
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DOI: 10.1007/s11063-020-10248-1
Abstract: Long term temporal representation methods demand high computational cost, restricting their practical use in real world applications. We propose a two-step deep residual method for efficiently learning long-term discriminative temporal representation, whilst significantly reducing computational… read more here.
Keywords: temporal embedding; action recognition; deep temporal; method ... See more keywords
A Method Based on Temporal Embedding for the Pairwise Alignment of Dynamic Networks
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25040665
Abstract: In network analysis, real-world systems may be represented via graph models, where nodes and edges represent the set of biological objects (e.g., genes, proteins, molecules) and their interactions, respectively. This representative knowledge-graph model may also… read more here.
Keywords: pairwise alignment; network; temporal embedding; based temporal ... See more keywords