This paper presents a new document segmentation algorithm, called context-adapted wavelet-domain hidden Markov tree (CAHMT) model, which extends a recently emerged wavelet-domain hidden Markov tree (HMT) model. The pr...
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ISBN:
(纸本)0780375084
This paper presents a new document segmentation algorithm, called context-adapted wavelet-domain hidden Markov tree (CAHMT) model, which extends a recently emerged wavelet-domain hidden Markov tree (HMT) model. The proposed CAHMT can achieve more accurate quality with low computation complexity in document segmentation. In addition to further improving the segmenting performance, we combine differential operator and the lowest frequency subband with CAHMT and produce much better visually segmentation quality than the HMT does.
The study of the shapes of sedimentary particles was presented. The shape of the particle was described by using the roundness as the measurement factor. The analysis study utilized a Fourier transform method to obtai...
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ISBN:
(纸本)0964345692
The study of the shapes of sedimentary particles was presented. The shape of the particle was described by using the roundness as the measurement factor. The analysis study utilized a Fourier transform method to obtain coordinates on the edge of the profile of the fragment being measured. The proposed method described the difference between the low pass filtered radii and original radii as the measure of roundness.
We introduce new theoretical measures for the qualitative and quantitative assessment of encryption schemes designed for broadcast transmissions. The goal is to allow a central broadcast site to broadcast secure trans...
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The MPI Standard supports derived datatypes, which allow users to describe noncontiguous memory layout and communicate noncontiguous data with a single communication function. This feature enables an MPI implementatio...
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Clustering is employed in information retrieval systems to enhance the efficiency and effectiveness of the retrieval process. Clustering is achieved by partitioning the documents in a collection into classes such that...
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Studying games in the complete information model makes them analytically tractable. However, large n player interactions are more realistically modeled as games of incomplete information, where players may know little...
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We consider two-dimensional and axially symmetric critical-state problems in type-II superconductivity, and show that these problems are equivalent to evolutionary quasivariational inequalities. In a special case, whe...
We consider two-dimensional and axially symmetric critical-state problems in type-II superconductivity, and show that these problems are equivalent to evolutionary quasivariational inequalities. In a special case, where the inequalities become variational, the existence and uniqueness of the solution are proved.
This volume contains papers presented at the 19th International Conference on Algorithmic Learning Theory (ALT 2008), which was held in Budapest, Hungary during October 13–16, 2008. The conference was co-located with...
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ISBN:
(数字)9783540879879
ISBN:
(纸本)9783540879862
This volume contains papers presented at the 19th International Conference on Algorithmic Learning Theory (ALT 2008), which was held in Budapest, Hungary during October 13–16, 2008. The conference was co-located with the 11th - ternational Conference on Discovery science (DS 2008). The technical program of ALT 2008 contained 31 papers selected from 46 submissions, and 5 invited talks. The invited talks were presented in joint sessions of both conferences. ALT 2008 was the 19th in the ALT conference series, established in Japan in 1990. The series Analogical and Inductive Inference is a predecessor of this series: it was held in 1986, 1989 and 1992, co-located with ALT in 1994, and s- sequently merged with ALT. ALT maintains its strong connections to Japan, but has also been held in other countries, such as Australia, Germany, Italy, Sin- pore, Spain and the USA. The ALT conference series is supervised by its Steering Committee: Naoki Abe (IBM T. J.
In this paper we propose a robust Minimal Learning Machine (R-RLM) for regression problems. The proposed method uses a robust M-estimator to generate a linear mapping between input and output distances matrices of MLM...
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Protein-Protein Interaction (PPI) extraction from biomedical articles consists on extracting sentences were two or more proteins interact. Traditional articles tackle this problem creating more sophisticated classifie...
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