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ON PROJECTIVE SPACE
, 2010
"... On the classication of rank 2 almost Fano bundles on projective space ..."
to the Projective Space ∗
, 903
"... We show that every CRautomorphism of the closure of a Levi degenerate hyperquadric in the projective space extends to a holomorphic automorphism of the projective space. 1 ..."
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We show that every CRautomorphism of the closure of a Levi degenerate hyperquadric in the projective space extends to a holomorphic automorphism of the projective space. 1
Shape manifolds, Procrustean metrics, and complex projective spaces
 Bulletin of the London Mathematical Society
, 1984
"... 2. Shapespaces and shapemanifolds 82 3. Procrustes analysis, and the invariant (quotient) metric on I j.... 87 4. Shapemeasures and shapedensities 93 5. The manifold carrying the shapes of triangles 96 ..."
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Cited by 264 (0 self)
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2. Shapespaces and shapemanifolds 82 3. Procrustes analysis, and the invariant (quotient) metric on I j.... 87 4. Shapemeasures and shapedensities 93 5. The manifold carrying the shapes of triangles 96
Projection Pursuit Regression
 Journal of the American Statistical Association
, 1981
"... A new method for nonparametric multiple regression is presented. The procedure models the regression surface as a sum of general smooth functions of linear combinations of the predictor variables in an iterative manner. It is more general than standard stepwise and stagewise regression procedures, ..."
Abstract

Cited by 555 (6 self)
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, does not require the definition of a metric in the predictor space, and lends itself to graphical interpretation.
Actions as spacetime shapes
 In ICCV
, 2005
"... Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as threedimensional shapes induced by the silhouettes in the spacetime volume. We adopt a recent approach [14] for analyzing 2D shapes and genera ..."
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Cited by 642 (4 self)
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Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as threedimensional shapes induced by the silhouettes in the spacetime volume. We adopt a recent approach [14] for analyzing 2D shapes
The Berkeley FrameNet Project
 IN PROCEEDINGS OF THE COLINGACL
, 1998
"... FrameNet is a threeyear NSFsupported project in corpusbased computational lexicography, now in its second year #NSF IRI9618838, #Tools for Lexicon Building"#. The project's key features are #a# a commitment to corpus evidence for semantic and syntactic generalizations, and #b# the repr ..."
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Cited by 624 (3 self)
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FrameNet is a threeyear NSFsupported project in corpusbased computational lexicography, now in its second year #NSF IRI9618838, #Tools for Lexicon Building"#. The project's key features are #a# a commitment to corpus evidence for semantic and syntactic generalizations, and #b
The irreducibility of the space of curves of given genus
 Publ. Math. IHES
, 1969
"... Fix an algebraically closed field k. Let Mg be the moduli space of curves of genus g over k. The main result of this note is that Mg is irreducible for every k. Of course, whether or not M s is irreducible depends only on the characteristic of k. When the characteristic s o, we can assume that k ~ ..."
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Cited by 512 (2 self)
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Fix an algebraically closed field k. Let Mg be the moduli space of curves of genus g over k. The main result of this note is that Mg is irreducible for every k. Of course, whether or not M s is irreducible depends only on the characteristic of k. When the characteristic s o, we can assume that k
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
, 1997
"... We develop a face recognition algorithm which is insensitive to gross variation in lighting direction and facial expression. Taking a pattern classification approach, we consider each pixel in an image as a coordinate in a highdimensional space. We take advantage of the observation that the images ..."
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Cited by 2263 (18 self)
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We develop a face recognition algorithm which is insensitive to gross variation in lighting direction and facial expression. Taking a pattern classification approach, we consider each pixel in an image as a coordinate in a highdimensional space. We take advantage of the observation that the images
Results 1  10
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1,793,306