SIGIR
2008
ACM
2008
ACM
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
13 years 11 months ago
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
JSAC
2006
13 years 11 months ago
2006
The responsiveness of networked applications is limited by communications delays, making network distance an important parameter in optimizing the choice of communications peers. S...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
Dictionary learning through matrix factorization has become widely popular for performing music transcription and source separation. These methods learn a concise set of dictionar...
RECSYS
2010
ACM
13 years 11 months ago
2010
ACM
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
ICML
2010
IEEE
14 years 18 days ago
2010
IEEE
Discrete mixed membership modeling and continuous latent factor modeling (also known as matrix factorization) are two popular, complementary approaches to dyadic data analysis. In...
DATESO
2008
14 years 29 days ago
2008
Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for fa...
AAAI
2010
14 years 1 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
CVPR
1999
IEEE
14 years 3 months ago
1999
IEEE
We propose an efficient solution to the general M-view projective reconstruction problem, using matrix factorization and iterative least squares. The method can accept input with ...
PAKDD
2009
ACM
14 years 4 months ago
2009
ACM
Abstract. Recently, the variational Bayesian approximation was applied to probabilistic matrix factorization and shown to perform very well in experiments. However, its good perfor...
IMC
2004
ACM
14 years 5 months ago
2004
ACM
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...