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» A Statistical Learning Approach To Document Image Analysis
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ICCV
2011
IEEE
13 years 12 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
DIMVA
2007
15 years 1 months ago
A Study of Malcode-Bearing Documents
By exploiting the object-oriented dynamic composability of modern document applications and formats, malcode hidden in otherwise inconspicuous documents can reach third-party appli...
Wei-Jen Li, Salvatore J. Stolfo, Angelos Stavrou, ...
SIGIR
2004
ACM
15 years 5 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
ICDAR
2007
IEEE
15 years 6 months ago
On Using Classical Poetry Structure for Indian Language Post-Processing
Post-processors are critical to the performance of language recognizers like OCRs, speech recognizers, etc. Dictionary-based post-processing commonly employ either an algorithmic ...
Anoop M. Namboodiri, P. J. Narayanan, C. V. Jawaha...
ICML
2007
IEEE
16 years 21 days ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...