Abstract Unsupervised person re-identification (re-ID) aims to match pictures of target pedestrians from some other cameras without any labels. The existing methods usually adopt a cluster-based pipeline generate false labels for training. However, because the differences in camera configuration, taking Angle, illumination intensity and pedestrian background, unlabeled training samples captured...

In the present study we address the question of whether the learning of task-irrelevant stimuli found in the paradigm of task-irrelevant learning (TIPL) [1]-[9] is truly task irrelevant. To test the hypothesis that associations that are beneficial to task-performance may develop between the task-relevant and task-irrelevant stimuli, or the task-responses and the task-irrelevant stimuli, we desi...

One can imagine a future society in which natural resources are irrelevant and all that counts is information. I shall discuss this possibility, plus the role that algorithmic information theory might then play as a metatheory for the amount of information required to construct something.

This study investigated, and partially aimed to replicate, important construct validity aspects and the homogeneity of trait mindfulness measures. Specifically, the study set out to examine whether a single dimension can explain the shared variance among these measures as well as the extent to which they converge with one another and in terms of their linkages to the five-factor model (FFM). Tw...

We estimate a medium-scale model with and without rule-of-thumb consumers over the pre-Volcker Great Moderation periods, allowing for indeterminacy. Passive monetary policy sunspot fluctuations characterize period both models. In subsamples, estimated fraction of is low, such that two models are empirically almost equivalent; they yield very similar impulse response functions, variance, histori...

Recently, statistical process control (SPC) methodologies have been developed to accommodate autocorrelated data. To construct control charts for stationary process data, the process variance needs to be estimated. For an independently identically distributed sequence of a random variable, the variance is usually estimated by the sample variance. For a weakly stationary process, different estim...

We introduce and study a tactic language, Hitac, for constructing hierarchical proofs, known as hiproofs. The idea of hiproofs is to superimpose a labelled hierarchical nesting on an ordinary proof tree. The labels and nesting are used to describe the organisation of the proof, typically relating to its construction process. This can be useful for understanding and navigating the proof. Tactics...