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» Bio-medical entity extraction using support vector machines
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BMCBI
2007
153views more  BMCBI 2007»
13 years 7 months ago
Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
Matthew Landry, Stephen Winters-Hilt
CIDM
2007
IEEE
13 years 11 months ago
Identifying Anatomical Phrases in Clinical Reports by Shallow Semantic Parsing Methods
Natural Language Processing (NLP) is being applied for several information extraction tasks in the biomedical domain. The unique nature of clinical information requires the need fo...
Vijayaraghavan Bashyam, Ricky K. Taira
ECML
2005
Springer
14 years 1 months ago
Multi-view Discriminative Sequential Learning
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
Ulf Brefeld, Christoph Büscher, Tobias Scheff...
ICPR
2010
IEEE
13 years 6 months ago
Human Action Recognition Using Segmented Skeletal Features
We present a novel human action recognition system based on segmented skeletal features which are separated into several human body parts such as face, torso and limbs. Our propos...
Sang Min Yoon, Arjan Kuijper
ICIP
2010
IEEE
13 years 5 months ago
Robust object detection scheme using feature selection
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
Hong Pan, Liang-Zheng Xia, Truong Q. Nguyen