Bipartite ranking is a fundamental ranking problem that learns to order relevant instances ahead of irrelevant ones. One major approach for bipartite ranking, called the pair-wise approach, tackles an equivalent binary classification problem of whether one instance out of a pair of instances should be ranked higher than the other. Nevertheless, the number of instance pairs constructed from the ...

The task of localizing single and multiple concurrent speakers in a reverberant environment with background noise poses several problems. One of the major problems is the severe corruption of the frame-wise localization estimates. To improve the overall localization accuracy, we propose a particle filter based tracking algorithm using the recently proposed Multiband Joint PositionPitch (M-PoPi)...

2 Methods 5 2.1 Multiple hypothesis testing framework . . . . . . . . . . . . . 5 2.2 Test statistics null distribution . . . . . . . . . . . . . . . . . 11 2.3 Single-step procedures for control of general Type I error rates θ(FVn) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.4 Step-down procedures for control of the family-wise error rate 16 2.5 Augmentation multiple tes...

We consider a clinical trial with a primary and a secondary endpoint where the secondary endpoint is tested only if the primary endpoint is significant. The trial uses a group sequential procedure with two stages. The familywise error rate (FWER) of falsely concluding significance on either endpoint is to be controlled at a nominal level α. The type I error rate for the primary endpoint is cont...

In this study, a novel approach which uses combination of steganography and cryptography for hiding information into digital images as host media is proposed. In the process, secret data is first encrypted using the mono-alphabetic substitution cipher method and then the encrypted secret data is embedded inside an image using an algorithm which combines the random patterns based on Space Fillin...

Traditional stock movement prediction tasks are formulated as either classification or regression task, and the relation between stocks not considered an input of prediction. The relative order ranking is more important than price return a single for making proper investment decisions. Stock performance can be improved by incorporating information in task. We employ graph-based approach use mac...