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» A New Baseline for Image Annotation
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TRECVID
2008
13 years 9 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
12 years 7 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
14 years 29 days 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...
ISM
2006
IEEE
153views Multimedia» more  ISM 2006»
14 years 2 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...
ICIP
2010
IEEE
13 years 5 months 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