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» Latent Process Model for Manifold Learning
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EMNLP
2010
15 years 2 months ago
Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions
In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic features. Rather than directly ...
Zhongqiang Huang, Martin Cmejrek, Bowen Zhou
ICIP
2007
IEEE
16 years 6 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
AAAI
2010
15 years 5 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling
ECIS
2000
15 years 5 months ago
Software Process Management: An Organizational Learning Perspective
We draw from the quality management and organizational learning literatures to develop a descriptive model of software process management. These literature streams suggest that the...
Thiagarajan Ravichandran, Arun Rai
ICML
2010
IEEE
15 years 5 months ago
Dynamical Products of Experts for Modeling Financial Time Series
Predicting the "Value at Risk" of a portfolio of stocks is of great significance in quantitative finance. We introduce a new class models, "dynamical products of ex...
Yutian Chen, Max Welling