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» Sequential predictions based on algorithmic complexity
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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 3 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
132
Voted
BMCBI
2007
143views more  BMCBI 2007»
15 years 2 months ago
An adaptive bin framework search method for a beta-sheet protein homopolymer model
Background: The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This probl...
Alena Shmygelska, Holger H. Hoos
177
Voted
ECCV
2008
Springer
16 years 25 days ago
Toward Global Minimum through Combined Local Minima
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
EDBT
2004
ACM
110views Database» more  EDBT 2004»
16 years 2 months ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
126
Voted
MTA
2007
140views more  MTA 2007»
15 years 2 months ago
Motion mapping and mode decision for MPEG-2 to H.264/AVC transcoding
This paper describes novel transcoding techniques aimed for low-complexity MPEG-2 to H.264/AVC transcoding. An important application for this type of conversion is efficient stor...
Jun Xin, Jianjun Li, Anthony Vetro, Shun-ichi Seki...