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Found 6 papers, 1 papers with code
Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting
The paper presents a spatio-temporal wind speed forecasting algorithm using Deep Learning (DL)and in particular, Recurrent Neural Networks(RNNs).
Improving the Accuracy of the CogniLearn System for Cognitive Behavior Assessment
As a result of these improvements, the accuracy in recognizing cases where subjects touch their toes has gone from 76. 46% in our previous work to 97. 19% in this paper.
Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction
However, centralized systems are not scalable and fail provide real-time feedback to the system whereas in a decentralized scheme, each node is responsible to predict its own short-term congestion based on the local current measurements in neighboring nodes.
Enhanced Facial Recognition Framework based on Skin Tone and False Alarm Rejection
In this study, an enhanced face detection framework is proposed to improve detection rate based on skin color and provide a validation process.
Selective Unsupervised Feature Learning with Convolutional Neural Network (S-CNN)
Selective Convolutional Neural Network (S-CNN) is a simple and fast algorithm, it introduces a new way to do unsupervised feature learning, and it provides discriminative features which generalize well.
Ranked #103 on
Image Classification
on STL-10
Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition
Human body pose estimation and hand detection are two important tasks for systems that perform computer vision-based sign language recognition(SLR).
