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» A New Baseline for Image Annotation
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TRECVID
2008
15 years 5 months ago
Beyond Semantic Search: What You Observe May Not Be What You Think
This paper presents our approaches and results of the four TRECVID 2008 tasks we participated in: high-level feature extraction, automatic video search, video copy detection, and ...
Chong-Wah Ngo, Yu-Gang Jiang, Xiao-Yong Wei, Wanle...
EMNLP
2011
14 years 3 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
ICPR
2010
IEEE
15 years 8 months ago
Active Boosting for Interactive Object Retrieval
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose ”online boosting” algorithms where weak classifier sets...
Alexis Lechervy, Philippe Henri Gosselin, Frederic...
116
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ISM
2006
IEEE
153views Multimedia» more  ISM 2006»
15 years 9 months ago
A Forward-Looking User Interface for CBIR and CFIR Systems
Abstract— This demonstration highlights the benefits that image retrieval systems can enjoy by use of a thoughtful interface. We present a live demonstration of PRISM, a new Web...
Liam M. Mayron, Oge Marques, Gustavo B. Borba, Hum...
118
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ICIP
2010
IEEE
15 years 26 days ago
Snakules: Snakes that seek spicules on mammography
We present a new method called "snakules" for the annotation of spicules on mammography. Snakules employs parametric open-ended snakes that are deployed in a region arou...
Gautam S. Muralidhar, Alan C. Bovik, Mia K. Markey