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» Building text features for object image classification
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KDD
2002
ACM
286views Data Mining» more  KDD 2002»
14 years 8 months ago
Object Boundary Detection For Ontology-Based Image Classification
Technology in the field of digital media generates huge amounts of non-textual information, audio, video, and images, along with more familiar textual information. The potential f...
Lei Wang, Latifur Khan, Casey Breen
BIBE
2008
IEEE
112views Bioinformatics» more  BIBE 2008»
13 years 9 months ago
Feature selection and classification for assessment of chronic stroke impairment
Recent advances of robotic/mechanical devices enable us to measure a subject's performance in an objective and precise manner. The main issue of using such devices is how to r...
Jae-Yoon Jung, Janice I. Glasgow, Stephen H. Scott
TCSV
2002
292views more  TCSV 2002»
13 years 7 months ago
Document image segmentation using wavelet scale-space features
In this paper, an efficient and computationally fast method for segmenting text and graphics part of document images based on textural cues is presented. We assume that the graphic...
Mausumi Acharyya, Malay K. Kundu
TIP
2008
84views more  TIP 2008»
13 years 7 months ago
Indexing of Satellite Images With Different Resolutions by Wavelet Features
As many users of imaging technologies, space agencies are rapidly building up massive image databases. A particularity of these databases is that they are made of images with diffe...
Bin Luo, Jean-François Aujol, Yann Gousseau...
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Enhancing curvature scale space features for robust shape classification
The curvature scale space (CSS) technique, which is also part of the MPEG-7 standard is a robust method to describe complex shapes.The central idea is to analyze the curvature of ...
Stephan Kopf, Thomas Haenselmann, Wolfgang Effelsb...