![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge
Recently, deep neural networks (DNNs) have been widely applied in mobile intelligent applications. The inference for the DNNs is usually performed in the cloud. However, it leads to a large overhead of transmi...
-
Chapter and Conference Paper
Fast CNN Pruning via Redundancy-Aware Training
The heavy storage and computational overheads have become a hindrance to the deployment of modern Convolutional Neural Networks (CNNs). To overcome this drawback, many works have been proposed to exploit redun...
-
Chapter and Conference Paper
Age Estimation by Refining Label Distribution in Deep CNN
This paper proposes an age estimation algorithm by refining the label distribution in a deep learning framework. There are two tasks during the training period of our algorithm. The first one finds the optimal...
-
Chapter and Conference Paper
A Fast Granular Method for Classifying Incomplete Inconsistent Data
Today extracting knowledge from “inferior quality” data that is characterized by incompleteness and inconsistency is an unavoidable and challenging topic in the field of data mining. In this paper, we propose ...
-
Chapter and Conference Paper
Evaluation and Recommendation Methods Based on Graph Model
Evaluation and recommendation are different actions, but they are consistent in mining and using information efficiently and effectively to improve their persuasiveness and accuracy. From the view of informati...
-
Chapter and Conference Paper
Research on Constitution and Application of Digital Learning Resources of Wu Culture
As splendid traditional culture, Wu Culture plays a very important role in accelerating the constructing of school culture and human resources training. With the increasing demands for Wu culture resources of ...