120 citations · 347 across the 16 of their papers we have counts for
5 papers · 1 filter
Scene Image Representation by Foreground, Background and Hybrid Features
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal +1
Previous methods for representing scene images based on deep learning primarily consider either the foreground or background information as the discriminating clues for the classif…
Content and Context Features for Scene Image Representation
Chiranjibi Sitaula, Sunil Aryal, Yong Xiang +2
Existing research in scene image classification has focused on either content features (e.g., visual information) or context features (e.g., annotations). As they capture different…
A Comprehensive Survey on Outlying Aspect Mining Methods
Durgesh Samariya, Jiangang Ma, Sunil Aryal
In recent years, researchers have become increasingly interested in outlying aspect mining. Outlying aspect mining is the task of finding a set of feature(s), where a given data ob…
A new effective and efficient measure for outlying aspect mining
Durgesh Samariya, Sunil Aryal, Kai Ming Ting
Outlying Aspect Mining (OAM) aims to find the subspaces (a.k.a. aspects) in which a given query is an outlier with respect to a given dataset. Existing OAM algorithms use tradition…
HDF: Hybrid Deep Features for Scene Image Representation
Chiranjibi Sitaula, Yong Xiang, Anish Basnet +2
Nowadays it is prevalent to take features extracted from pre-trained deep learning models as image representations which have achieved promising classification performance. Existin…