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ICCV
2003
IEEE
14 years 11 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
ICIP
2001
IEEE
14 years 11 months ago
Generation of semantic cues for sports video annotation
The use of video and audio features for automated annotation of audio-visual data is becoming widespread. A major limitation of many of the current methods is that the stored inde...
Kieron Messer, Josef Kittler, Barbara Levienaise-O...
ACL
2010
13 years 7 months ago
Inducing Domain-Specific Semantic Class Taggers from (Almost) Nothing
This research explores the idea of inducing domain-specific semantic class taggers using only a domain-specific text collection and seed words. The learning process begins by indu...
Ruihong Huang, Ellen Riloff
CIKM
2010
Springer
13 years 6 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
COOPIS
2003
IEEE
14 years 2 months ago
A Fuzzy Model for Representing Uncertain, Subjective, and Vague Temporal Knowledge in Ontologies
Abstract. Time modeling is a crucial feature in many application domains. However, temporal information often is not crisp, but is uncertain, subjective and vague. This is particul...
Gábor Nagypál, Boris Motik