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» Semantic grouping of visual features
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KDD
2003
ACM
195views Data Mining» more  KDD 2003»
14 years 8 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
ICPR
2006
IEEE
14 years 8 months ago
Evaluating Feature Importance for Object Classification in Visual Surveillance
Feature-based object classification, which distinguish a moving object to human or vehicle, is important in visual surveillance. In order to improve classification performance, in...
Hironobu Fujiyoshi, Masamitsu Tsuchiya
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 1 months ago
Extracting Author Meta-Data from Web Using Visual Features
Enriching digital library’s author meta-data can lead to valuable services and applications. This paper addresses the problem of extracting authors’ information from their hom...
Shuyi Zheng, Ding Zhou, Jia Li, C. Lee Giles
PCM
2004
Springer
120views Multimedia» more  PCM 2004»
14 years 28 days ago
Region-Based Image Retrieval with Perceptual Colors
Due to the ‘semantic gap’ between low-level visual features and the rich semantics in user’s mind, performance of traditional contentbased image retrieval systems is far from...
Ying Liu, Dengsheng Zhang, Guojun Lu, Wei-Ying Ma
CVPR
2010
IEEE
14 years 4 months ago
Online Visual Vocabulary Pruning Using Pairwise Constraints
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are “related”(must-link constraint) or “unrelated” (must not li...
Pavan Mallapragada, Rong Jin and Anil Jain