Sciweavers

2252 search results - page 324 / 451
» A distributed machine learning framework
Sort
View
ICDAR
2007
IEEE
14 years 5 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
ICIP
2010
IEEE
13 years 8 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
IPPS
1999
IEEE
14 years 3 months ago
A Structured Approach to Parallel Programming: Methodology and Models
Parallel programming continues to be difficult, despite substantial and ongoing research aimed at making it tractable. Especially dismaying is the gulf between theory and the pract...
Berna L. Massingill
ESCIENCE
2006
IEEE
14 years 2 months ago
Designing Workflow Components for e-Science
In this paper we present a general domain for the analysis of workflows and workflow components based on the notion of a collection of Turing machines sharing a set of tapes. We s...
Frank Terpstra, Pieter W. Adriaans
BMCBI
2007
194views more  BMCBI 2007»
13 years 11 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung