6 citations · 8 across the 8 of their papers we have counts for
8 papers
Leachable Component Clustering
Miao Cheng, Xinge You
Clustering attempts to partition data instances into several distinctive groups, while the similarities among data belonging to the common partition can be principally reserved. Fu…
Multi-similarity based Hyperrelation Network for few-shot segmentation
Xiangwen Shi, Zhe Cui, Shaobing Zhang +3
Few-shot semantic segmentation aims at recognizing the object regions of unseen categories with only a few annotated examples as supervision. The key to few-shot segmentation is to…
Offline Reinforcement Learning for Mobile Notifications
Yiping Yuan, Ajith Muralidharan, Preetam Nandy +2
Mobile notification systems have taken a major role in driving and maintaining user engagement for online platforms. They are interesting recommender systems to machine learning pr…
Adaptive Matching of Kernel Means
Miao Cheng, Xinge You
As a promising step, the performance of data analysis and feature learning are able to be improved if certain pattern matching mechanism is available. One of the feasible solutions…
A Family of Maximum Margin Criterion for Adaptive Learning
Miao Cheng, Zunren Liu, Hongwei Zou +1
In recent years, pattern analysis plays an important role in data mining and recognition, and many variants have been proposed to handle complicated scenarios. In the literature, i…
CRH: A Simple Benchmark Approach to Continuous Hashing
Miao Cheng, Ah Chung Tsoi
In recent years, the distinctive advancement of handling huge data promotes the evolution of ubiquitous computing and analysis technologies. With the constantly upward system burde…
Fractal Dimension Pattern Based Multiresolution Analysis for Rough Estimator of Person-Dependent Audio Emotion Recognition
Miao Cheng, Ah Chung Tsoi
As a general means of expression, audio analysis and recognition has attracted much attentions for its wide applications in real-life world. Audio emotion recognition (AER) attempt…
Adaptive Training of Random Mapping for Data Quantization
Miao Cheng, Ah Chung Tsoi
Data quantization learns encoding results of data with certain requirements, and provides a broad perspective of many real-world applications to data handling. Nevertheless, the re…