Add to ORKGLocally Linear Embedding (LLE) is an elegant nonlinear dimensionality-reduction technique recently introduced by Roweis and Saul 2]. It fails when the data is divided into separate groups. We study a variant of LLE that can simultaneously group the data and calculate local embedding of each group. An estimate for the upper bound on the intrinsic dimension of the data set is obtained automatically
This report discusses one paper for linear data dimensionality reduction, Eigenfaces, and two recent...
This work addresses nonlinear dimensionality reduction by means of locally linear embedding (LLE) f...
Locally Linear Embedding (LLE) is an effective method for both single manifold embedding and multipl...
Locally Linear Embedding (LLE) is an elegant nonlinear dimensionality-reduction technique recently i...
Roweis ST, Lawrence LK. Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science. 200...
Abstract. Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear di...
The problem of dimensionality reduction arises in many fields of information processing, including m...
Abstract Raw data sets taken with various capturing devices are usually multidimensional and need to...
The locally linear embedding (LLE) is considered an effective algorithm for dimensionality reduction...
We revisit in this work the Locally Linear Embedding (LLE) algorithm which is a widely employed tech...
The paper presents mathematical underpinnings of the locally linear embedding technique for data dim...
Locally Linear Embedding is a dimensionality reduction method which relies on the conservation of ba...
2000 Mathematics Subject Classification: 68T01, 62H30, 32C09.Locally Linear Embedding (LLE) has gain...
AbstractDimensionality reduction has always been one of the most challenging tasks in the field of d...
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embeddin...
This report discusses one paper for linear data dimensionality reduction, Eigenfaces, and two recent...
This work addresses nonlinear dimensionality reduction by means of locally linear embedding (LLE) f...
Locally Linear Embedding (LLE) is an effective method for both single manifold embedding and multipl...
Locally Linear Embedding (LLE) is an elegant nonlinear dimensionality-reduction technique recently i...
Roweis ST, Lawrence LK. Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science. 200...
Abstract. Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear di...
The problem of dimensionality reduction arises in many fields of information processing, including m...
Abstract Raw data sets taken with various capturing devices are usually multidimensional and need to...
The locally linear embedding (LLE) is considered an effective algorithm for dimensionality reduction...
We revisit in this work the Locally Linear Embedding (LLE) algorithm which is a widely employed tech...
The paper presents mathematical underpinnings of the locally linear embedding technique for data dim...
Locally Linear Embedding is a dimensionality reduction method which relies on the conservation of ba...
2000 Mathematics Subject Classification: 68T01, 62H30, 32C09.Locally Linear Embedding (LLE) has gain...
AbstractDimensionality reduction has always been one of the most challenging tasks in the field of d...
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embeddin...
This report discusses one paper for linear data dimensionality reduction, Eigenfaces, and two recent...
This work addresses nonlinear dimensionality reduction by means of locally linear embedding (LLE) f...
Locally Linear Embedding (LLE) is an effective method for both single manifold embedding and multipl...