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ICIP
2008
IEEE
16 years 8 months ago
Conditional iterative decoding of Two Dimensional Hidden Markov Models
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
16 years 3 months ago
Time-Decayed Correlated Aggregates over Data Streams.
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
Graham Cormode, Srikanta Tirthapura, Bojian Xu
ICCAD
2003
IEEE
161views Hardware» more  ICCAD 2003»
16 years 3 months ago
A General S-Domain Hierarchical Network Reduction Algorithm
This paper presents an efficient method to reduce complexities of a linear network in s-domain. The new method works on circuit matrices directly and reduces the circuit complexi...
Sheldon X.-D. Tan
KDD
2009
ACM
298views Data Mining» more  KDD 2009»
16 years 1 months ago
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering
One-Class Collaborative Filtering (OCCF) is a task that naturally emerges in recommender system settings. Typical characteristics include: Only positive examples can be observed, ...
Rong Pan, Martin Scholz
SIGECOM
2009
ACM
112views ECommerce» more  SIGECOM 2009»
16 years 1 months ago
Network bargaining: algorithms and structural results
We consider models for bargaining in social networks, in which players are represented by vertices and edges represent bilateral opportunities for deals between pairs of players. ...
Tanmoy Chakraborty, Michael Kearns, Sanjeev Khanna