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Cascaded regression approaches have been widely applied to computer vision tasks recently, and achieve state-of-the-art performance. In this paper, we consider the problem of face alignment model fitting using cascaded regression and propose a new face alignment approach named Joint Local Regressors Learning (JLRL). The main novelty of our learning framework lies in two following aspects: (1) shape constraints among facial landmarks are considered by jointly learning local regressors; (2) the contribution to face alignment errors for each facial landmark is explored in the training phase. Compared with the previous face alignment methods that have shown state-of-the-art performances, our JLRL approach performed best on the LFPW, Helen and 300-W datasets which are the most challenging datasets today. [ABSTRACT FROM AUTHOR]

Three new iridoids, jatamanvaltrates R–S ( 1 – 2 ) and jatamanin Q ( 3 ), as well as three new sesquiterpenoids, valeriananoids D–E ( 4 , 5 ) and clovane-2 β -isovaleroxy-9 α -ol ( 6 ), together with nine known compounds were isolated from the roots of Valeriana jatamansi Jones. Compound 2 was the first reported iridoid with fatty acid esters in the Valerianaceae family. The structures of new compounds were established on the basis of extensive spectroscopic analysis. Moreover, all the isolates were evaluated for inhibitory activity on acetylcholinesterase (AChE). [ABSTRACT FROM AUTHOR]