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Found 6 papers, 1 papers with code
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
To ameliorate this shortcoming of classic BSP, we propose ELASTICBSP a model that aims to relax its strict synchronization requirement.
Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings
Scene Classification has been addressed with numerous techniques in computer vision literature.
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning
In this paper, we present a distributed paradigm on the parameter server framework called Dynamic Stale Synchronous Parallel (DSSP) which improves the state-of-the-art Stale Synchronous Parallel (SSP) paradigm by dynamically determining the staleness threshold at the run time.
Fast Visual Object Tracking with Rotated Bounding Boxes
In this paper, we demonstrate a novel algorithm that uses ellipse fitting to estimate the bounding box rotation angle and size with the segmentation(mask) on the target for online and real-time visual object tracking.
Ranked #1 on
Visual Object Tracking
on VOT2016
Identification and classification of TCM syndrome types among patients with vascular mild cognitive impairment using latent tree analysis
Conclusions: A solution for the TCM syndrome classification problem associated with VMCI is established based on the latent tree analysis of unlabeled symptom survey data.
A data-driven method for syndrome type identification and classification in traditional Chinese medicine
Conclusions: A data-driven method for TCM syndrome identification and classification is presented.
