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NIPS
2000
15 years 8 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
ALGORITHMICA
2006
163views more  ALGORITHMICA 2006»
15 years 6 months ago
Building Large Phylogenetic Trees on Coarse-Grained Parallel Machines
Phylogenetic analysis is an area of computational biology concerned with the reconstruction of evolutionary relationships between organisms, genes, and gene families. Maximum likel...
Thomas M. Keane, Andrew J. Page, Thomas J. Naughto...
CVIU
2004
99views more  CVIU 2004»
15 years 6 months ago
Synchronization of oscillations for machine perception of gaits
Substantial evidence supports a relationship between gait perception and gait synthesis. Furthermore, passive mechanical systems demonstrate that the jointed leg systems of humans...
Jeffrey E. Boyd
DATAMINE
2002
125views more  DATAMINE 2002»
15 years 6 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
ACL
2009
15 years 4 months ago
Quadratic-Time Dependency Parsing for Machine Translation
Efficiency is a prime concern in syntactic MT decoding, yet significant developments in statistical parsing with respect to asymptotic efficiency haven't yet been explored in...
Michel Galley, Christopher D. Manning