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06/26/2019
Hierarchical Classification of Kelps utilizing Deep Residual Features
Across the globe, remote image data is rapidly being collected for the a...
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02/16/2019
Semi-supervised Learning on Graph with an Alternating Diffusion Process
Graph-based semi-supervised learning usually involves two separate stage...
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11/14/2017
Exploiting Layerwise Convexity of Rectifier Networks with Sign Constrained Weights
By introducing sign constraints on the weights, this paper proposes sign...
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08/24/2017
On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries
This paper provides a theoretical justification of the superior classifi...
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03/30/2017
From Deep to Shallow: Transformations of Deep Rectifier Networks
In this paper, we introduce transformations of deep rectifier networks, ...
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03/09/2017
A New Representation of Skeleton Sequences for 3D Action Recognition
This paper presents a new method for 3D action recognition with skeleton...
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11/21/2016
ResFeats: Residual Network Based Features for Image Classification
Deep residual networks have recently emerged as the state-of-the-art arc...
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08/18/2016
Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction
Predicting an interaction before it is fully executed is very important ...
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06/18/2015