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ICML
2006
IEEE
14 years 6 months ago
Active sampling for detecting irrelevant features
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo...
ICCV
2003
IEEE
14 years 8 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
ACL
2008
13 years 7 months ago
Active Sample Selection for Named Entity Transliteration
This paper introduces a new method for identifying named-entity (NE) transliterations within bilingual corpora. Current state-of-theart approaches usually require annotated data a...
Dan Goldwasser, Dan Roth
AIRWEB
2009
Springer
14 years 19 days ago
An empirical study on selective sampling in active learning for splog detection
Taichi Katayama, Takehito Utsuro, Yuuki Sato, Taka...
MIR
2005
ACM
198views Multimedia» more  MIR 2005»
13 years 11 months ago
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang