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ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 5 months ago
Unsupervised discovery of repetitive objects
We present a novel approach for unsupervised discovery of repetitive objects from 3D point clouds. Our method assumes that objects are geometrically consistent, and uses multiple o...
Jiwon Shin, Rudolph Triebel, Roland Siegwart
MM
2005
ACM
146views Multimedia» more  MM 2005»
14 years 1 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
ICIP
2003
IEEE
14 years 9 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
EMNLP
2010
13 years 5 months ago
Unsupervised Discovery of Negative Categories in Lexicon Bootstrapping
Multi-category bootstrapping algorithms were developed to reduce semantic drift. By extracting multiple semantic lexicons simultaneously, a category's search space may be res...
Tara McIntosh
ANLP
2000
114views more  ANLP 2000»
13 years 9 months ago
Unsupervised Discovery of Scenario-Level Patterns for Information Extraction
Information Extraction (IE) systems are commonly based on pattern matching. Adapting an IE system to a new scenario entails the construction of a new pattern base--a timeconsuming...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen