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In this paper, we propose a novel. Perception Preserving Projections (PPP) method to preserve the information for specific perception systems. In particular ...
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Unsupervised learning of feature projections to low-dimensional linear subspaces from training data has become a standard paradigm in the areas.
In this paper, we propose a novel Perception Preserving Projections (PPP) method to preserve the information for specific perception systems. In particular ...
In this paper, we propose a novel Perception Preserving Projections (PPP) method to preserve the information for specific perception systems. In particular, PPP ...
In this paper, we begin to explore the evolution of curves of the projective plane according to a family of intrinsic equations generalizing a “projective ...
Linear projection for reducing data dimensionality is a common practice in various data processing applications.
In this paper, we intro- duce Locality Preserving Projections (LPP). These are linear projective maps that arise by solving a variational problem that ...
The blue social bookmark and publication sharing system.
In this paper, we propose a new linear dimensionality reduction algorithm called Locality Preserving Projections. It is based on the same variational principle ...
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Toward a theory of perspective perception in pictures - PMC - NCBI
www.ncbi.nlm.nih.gov › PMC11055503
Apr 25, 2024 · This paper reviews projection models and their perception in realistic pictures, and proposes hypotheses for three-dimensional (3D) shape and space perception ...