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» Semiautomatic Labelling of Semantic Features
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MIR
2003
ACM
178views Multimedia» more  MIR 2003»
14 years 26 days ago
A bootstrapping approach to annotating large image collection
Huge amount of manual efforts are required to annotate large image/video archives with text annotations. Several recent works attempted to automate this task by employing supervis...
HuaMin Feng, Tat-Seng Chua
FLAIRS
2006
13 years 9 months ago
LARC: Learning to Assign Knowledge Roles to Textual Cases
In this paper, we present a learning framework for the semantic annotation of text documents that can be used as textual cases in case-based reasoning applications. The annotation...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
COLING
2000
13 years 9 months ago
Effects of Adjective Orientation and Gradability on Sentence Subjectivity
Subjectivity is a pragmatic, sentence-level feature that has important implications for text processing applications such as information extraction and information retrieval. We s...
Vasileios Hatzivassiloglou, Janyce Wiebe
ICASSP
2011
IEEE
12 years 11 months ago
Soundtrack classification by transient events
We present a method for video classification based on information in the soundtrack. Unlike previous approaches which describe the audio via statistics of mel-frequency cepstral ...
Courtenay V. Cotton, Daniel P. W. Ellis, Alexander...
MM
2009
ACM
269views Multimedia» more  MM 2009»
14 years 2 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...