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Found 8 papers, 1 papers with code
Leachable Component Clustering
Clustering attempts to partition data instances into several distinctive groups, while the similarities among data belonging to the common partition can be principally reserved.
Multi-similarity based Hyperrelation Network for few-shot segmentation
In MSHNet, we propose a new Generative Prototype Similarity (GPS), which together with cosine similarity can establish a strong semantic relation between the support and query images.
Ranked #14 on
Few-Shot Semantic Segmentation
on PASCAL-5i (5-Shot)
Offline Reinforcement Learning for Mobile Notifications
Mobile notification systems have taken a major role in driving and maintaining user engagement for online platforms.
Adaptive Matching of Kernel Means
As a promising step, the performance of data analysis and feature learning are able to be improved if certain pattern matching mechanism is available.
CRH: A Simple Benchmark Approach to Continuous Hashing
In recent years, the distinctive advancement of handling huge data promotes the evolution of ubiquitous computing and analysis technologies.
A Family of Maximum Margin Criterion for Adaptive Learning
In recent years, pattern analysis plays an important role in data mining and recognition, and many variants have been proposed to handle complicated scenarios.
Fractal Dimension Pattern Based Multiresolution Analysis for Rough Estimator of Person-Dependent Audio Emotion Recognition
As a general means of expression, audio analysis and recognition has attracted much attentions for its wide applications in real-life world.
Adaptive Training of Random Mapping for Data Quantization
Data quantization learns encoding results of data with certain requirements, and provides a broad perspective of many real-world applications to data handling.
