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IJCAI
2003
15 years 4 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
ECIR
2007
Springer
15 years 4 months ago
Natural Language Processing for Usage Based Indexing of Web Resources
Abstract. The identification of reliable and interesting items on Internet becomes more and more difficult and time consuming. This paper is a position paper describing our intend...
Anne Boyer, Armelle Brun
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
15 years 26 days ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
EDUTAINMENT
2007
Springer
15 years 7 months ago
View-Dependent Hierarchical Foliage Simplification
High compression of plant geometry is an important aspect in fast realistic visualization of plants. Hierarchical structuring plant morphology is a key factor for real time plant r...
Qingqiong Deng, Xiaopeng Zhang, Marc Jaeger
CORR
2010
Springer
210views Education» more  CORR 2010»
15 years 3 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad