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...St international conference on pattern recognition icpr november tsukuba japan orthogonal isometric projection yali zheng yuan yan tang bin fang taiping zhang chongqing university china of macau zhengyl fb tpzhang cqu edu cn yytang umac mo abstract with the graph laplacian theory cai et al pro posedavariationoflaplacianface lpp in contrast isomap which learns low laplacianface olpp iteratively computed dimension embedding and solves problem under eigenvectors to compose ma classic multi scaling mds framework we trix kokiopoulou saad analyzed compared propose a dimensionality reduction technique called lppandolpp andproposedanorthogonalneighbor oip this paper hood preserving projections onpp it can be thought consider an explicit linear as version lle but are by capturing geodesic distance is able learned explicitly standard eigenvalue handle new data straightforward leads stan dimensionalityreductiontechniquesiseithertoseek dard extend our method for representation benet sparse soip an...