Amanote Research

Amanote Research

    RegisterSign In

Automatic Reassembly of Document Fragments via Context Based Statistical Models

doi 10.1109/csac.2003.1254320
Full Text
Open PDF
Abstract

Available in full text

Date

Unknown

Authors
K. ShanmugasundaramN. Memon
Publisher

IEEE


Related search

Semantic Similarity Based Automatic Document Summarization Method

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2019English

Automatic Construction of Statistical Shape Models for Vertebrae

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2011English

Text Document Fragments Reconstruction Algorithm Based on Human-Computer Interaction

2015English

Correcting Statistical Models via Empirical Distribution Functions

Computational Statistics
Computational MathematicsStatisticsUncertaintyProbability
2015English

Microtubule Reassembly From Nucleating Fragments During the Regrowth of Amputated Neurites

Journal of Cell Biology
MedicineCell Biology
1986English

Automatic Indexing of Patent Right-Claiming Document Based on Deep Learning

2018English

The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization

2019English

Semantic-Based Multilingual Document Clustering via Tensor Modeling

2014English

Compression-Based Document Length Prior for Language Models

2009English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy