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This resolves the over-fitting issue created by the dominant samples of an identity and reduces the source-target domain gap. The experimental results show the supremacy of our proposed method over the existing unsupervised person re-ID methods in handling complex poses and camera angles in an ...
The users (domain experts) can re-examine the selected top-n outlier to locate real outliers. Since this detection procedure can provide a good interaction between data mining experts and users, top-n outlier detection methods become popular in real-world applications. Distance-based, top-n Kth...
In the domain of UFS, clustering is a major means to exploit label information. The existing methods either could not model a clear clustering structure or could not utilize the local structure of data. Consequently, a new clustering method in combination with graph learning is proposed in this...
Approaches that perform spatial filtering first import data from only a given spatial domain, so we can expect fewer image detection tasks than for naive approaches. Algorithm 3 is the pseudocode of a method that performs spatial filtering before image filtering. Algorithm 3: SpatialFirst DBSCAN....
AIS data contains a vast amount of information to aid navigation safety, vessel traffic services and maritime domain awareness [27]. Therefore, mining of AIS data is crucial to exploit the full potential of different applications. Certainly, there are many risks of spoofing and creating counterfeit...
After excluding domain-specific parameters from the reviewed cataloguing systems, e.g., those on patient monitoring or assessment [28], we assigned the remaining metadata to one of the defined categories. The specific parameters of serious games, i.e., target audience and application area, were ...
Previous PDF/EPUB Tools Share Cite Recommend Abstract The class-imbalance learning is one of the most significant research topics in the data mining and machine learning. Imbalance problem means that one of the classes has much more samples than that of other classes. To deal with the issues of...
For example, in the SMARTPHONE domain, performance is a perceptive feature that intuitively includes more than one of the technical features of a product (e.g., storage, RAM, or CPU). This data set is available on demand. This data set has been used in [42] and it was kindly provided...
For example, in the considered smart factory domain, data points can be partitioned with respect to the different tools that are used during the manufacturing process on the monitored machine. Different perspectives identify portions of the data stream on which exploration can be differently focused....