Search Results for author:
Found 4 papers, 0 papers with code
Treating Crowdsourcing as Examination: How to Score Tasks and Online Workers?
Thus, we first score workers' ability mainly on the medium difficult tasks, then reducing the weight of answers from sloppy workers and modifying the answers from spammers when inferring the tasks' ground truth.
Meta Cross-Modal Hashing on Long-Tailed Data
Due to the lack of training samples in the tail classes, MetaCMH first learns direct features from data in different modalities, and then introduces an associative memory module to learn the memory features of samples of the tail classes.
Cross-modal Zero-shot Hashing by Label Attributes Embedding
Cross-modal hashing (CMH) is one of the most promising methods in cross-modal approximate nearest neighbor search.
Adaptive Inference for Change Points in High-Dimensional Data
In this article, we propose a class of test statistics for a change point in the mean of high-dimensional independent data.
Methodology
