Neural oscillations are crucial for revealing dynamic cortical networks and for serving as a possible mechanism of inter-cortical communication, especially in association with mnemonic function. The interplay of the slow and fast oscillations might dynamically coordinate the mnemonic cortical circuits to rehearse stored items during working memory retention. We recorded simultaneous EEG-fMRI du...

Principal component analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition [Turk and Pentland, J. Cognitive Neurosci. 3(1) (1991)]. In natural scene classification, Oliva and Torralba presented such an algorithm in Oliva and Torralba [Int. J. Comput. Vision 42(3) (2001) 145–175] for representing images by their “spatial envelope” prop...

Many scene text understanding methods approach the endto-end recognition problem from a word-spotting perspective and take huge benefit from using small per-image lexicons. Such customized lexicons are normally assumed as given and their source is rarely discussed. In this paper we propose a method that generates contextualized lexicons for scene images using only visual information. For this, ...

Accounts of subjective randomness suggest that people consider a stimulus random when they cannot detect any regularities characterizing the structure of that stimulus. We explored the possibility that the regularities people detect are shaped by the statistics of their natural environment. We did this by testing the hypothesis that people's perception of randomness in two-dimensional binary ar...