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CVPR
2007
IEEE
14 years 9 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
KDD
2004
ACM
195views Data Mining» more  KDD 2004»
14 years 7 months ago
Improved robustness of signature-based near-replica detection via lexicon randomization
Detection of near duplicate documents is an important problem in many data mining and information filtering applications. When faced with massive quantities of data, traditional d...
Aleksander Kolcz, Abdur Chowdhury, Joshua Alspecto...
EDBT
2009
ACM
124views Database» more  EDBT 2009»
14 years 2 months ago
A sequential indexing scheme for flash-based embedded systems
NAND Flash has become the most popular stable storage medium for embedded systems. As on-board storage capacity increases, the need for efficient indexing techniques arises. Such ...
Shaoyi Yin, Philippe Pucheral, Xiaofeng Meng
SIGIR
2009
ACM
14 years 1 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
CIKM
2008
Springer
13 years 9 months ago
Experiments with English-Persian text retrieval
As the number of non-English documents is increasing dramatically on the web nowadays, the study and design of information retrieval systems for these languages is very important....
Abolfazl AleAhmad, Hadi Amiri, Masoud Rahgozar, Fa...