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NIPS
2004
15 years 1 months ago
Multiple Relational Embedding
We describe a way of using multiple different types of similarity relationship to learn a low-dimensional embedding of a dataset. Our method chooses different, possibly overlappin...
Roland Memisevic, Geoffrey E. Hinton
ACL
1998
15 years 1 months ago
Unification-based Multimodal Parsing
In orderto realize their full potential, multimodalsystems need to support not just input from multiple modes, but also synchronized integration of modes. Johnston et al (1997) mo...
Michael Johnston
BMVC
2000
15 years 1 months ago
Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation
High-dimensional data, such as images represented as points in the space spanned by their pixel values, can often be described in a significantly smaller number of dimensions than...
Dick de Ridder, Josef Kittler, Robert P. W. Duin
ISMB
1993
15 years 1 months ago
Representation for Discovery of Protein Motifs
There are several dimensions and levels of complexity in which information on protein motifs may be available. For example, onedimensional sequence motifs may be associated with s...
Darrell Conklin, Suzanne Fortier, Janice I. Glasgo...
CORR
2010
Springer
66views Education» more  CORR 2010»
14 years 12 months ago
Eigenvalue Results for Large Scale Random Vandermonde Matrices with Unit Complex Entries
Abstract--This paper centers on the limit eigenvalue distribution for random Vandermonde matrices with unit magnitude complex entries. The phases of the entries are chosen independ...
Gabriel H. Tucci, Philip A. Whiting