Structure propagation for zero-shot learning

The key of zero-shot learning (ZSL) is how to find the information transfer model for bridging the gap between images and semantic information (texts or attributes). Existing ZSL methods usually construct the compatibility function between images and class labels with the consideration of the relevance on the semantic classes (the manifold structure of semantic classes). However, the relationship of image classes (the manifold structure of image classes) is also very important for the compatibility model construction. It is difficult to capture the relationship among image classes due to unseen classes, so that the manifold structure of image classes often is ignored in ZSL. To complement each other between the manifold structure of image classes and that of semantic classes information, we propose structure propagation (SP) for improving the performance of ZSL for classification. SP can jointly consider the manifold structure of image classes and that of semantic classes for approximating to the intrinsic structure of object classes. Moreover, the SP can describe the constrain condition between the compatibility function and these manifold structures for balancing the influence of the structure propagation iteration. The SP solution provides not only unseen class labels but also the relationship of two manifold structures that encode the positive transfer in structure propagation. Experimental results demonstrate that SP can attain the promising results on the AwA, CUB, Dogs and SUN databases

In silico model and design of novel 5α-reductase inhibitors for treatment of benign prostatic hyperplasia

Purpose: To carry out in silico design of 5α-reductase inhibitors and study their potential for use in the treatment of benign prostate hyperplasia (BPH). Methods: In silico molecular docking simulation-based virtual screening of NCI Diversity Set-II containing 1880 diverse ligands was performed against human 5α-reductase for identification of potential lead molecules. The pharmacological properties and toxicity of the lead compounds were determined using software, Marvin Sketch and OSIRIS online programs, respectively. Results: Three compounds: ZINC13099050, ZINC01569237 and ZINC17995347_2 showed potent inhibition of 5α-reductase enzyme protein and good pharmacokinetic properties without any serious toxic effects. Conclusion: The selected lead molecules are promising inhibitors of 5α-reductase. They are recommended for further structure-based development of drugs for the treatment of BPH

THE PROBLEM OF TAXING FARMERS IN CHINA

Replaced with revised version of paper 08/25/03.Agricultural Finance, H22, O53,

Derived length and nilpotency class of zero entropy groups acting on compact Kahler manifolds

Let X be a compact Kahler manifold of dimension n and of Kodaira dimension kappa(X). Let G be a group of zero entropy automorphisms of X and G_0 the set of elements in G which are isotopic to the identity. We prove that replacing G by a suitable finite-index subgroup, G/G_0 is a unipotent group of derived length at most n-max(kappa(X),1) and the derived length of G is at most n-kappa(X). Up to taking a finite-index subgroup, we conjecture that the nilpotency class c(G/G_0) of G/G_0 is at most n-1. The conjecture is proved to be true for all complex tori. Assuming this conjecture for all compact Kahler manifolds, we show that c(G) is at most n-kappa(X). The algebro-geometric structure of X is studied when c(G)=n or c(G/G_0)=n-1. We also give an optimal upper bound of the size of the Jordan blocks of the unipotent automorphisms of H^2(X,C) induced by automorphisms of X.Comment: New version joined with Hsueh-Yung LIN. 38 pages. New results have been added and a mistake was fixe