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190
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WWW
2010
ACM
15 years 11 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
141
Voted
ACISICIS
2007
IEEE
15 years 10 months ago
Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
Gerhard Visser, David L. Dowe
152
Voted
CORR
2007
Springer
144views Education» more  CORR 2007»
15 years 3 months ago
Distributing the Kalman Filter for Large-Scale Systems
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Usman A. Khan, José M. F. Moura
124
Voted
CORR
2010
Springer
128views Education» more  CORR 2010»
15 years 1 months ago
Trajectory Codes for Flash Memory
Abstract--Flash memory is well-known for its inherent asymmetry: the flash-cell charge levels are easy to increase but are hard to decrease. In a general rewriting model, the store...
Anxiao Jiang, Michael Langberg, Moshe Schwartz, Je...
125
Voted
CVPR
2005
IEEE
16 years 5 months ago
OBJ CUT
In this paper we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...