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» User Strategies in Video Retrieval: A Case Study
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MM
2005
ACM
141views Multimedia» more  MM 2005»
14 years 1 months ago
SEVA: sensor-enhanced video annotation
In this paper, we study how a sensor-rich world can be exploited by digital recording devices such as cameras and camcorders to improve a user’s ability to search through a larg...
Xiaotao Liu, Mark D. Corner, Prashant J. Shenoy
PRL
2008
143views more  PRL 2008»
13 years 7 months ago
An active feedback framework for image retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang...
ICCBR
2010
Springer
13 years 11 months ago
Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
BMCBI
2008
112views more  BMCBI 2008»
13 years 7 months ago
A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regul
Background: Innumerable biological investigations require comparing collections of molecules, cells or organisms to one another with respect to one or more of their properties. Al...
Arnab Bhattacharya, Sasha Levy, Adria LeBoeuf, Mic...
DEXA
2011
Springer
296views Database» more  DEXA 2011»
12 years 7 months ago
A Scalable Tag-Based Recommender System for New Users of the Social Web
Abstract. Folksonomies have become a powerful tool to describe, discover, search, and navigate online resources (e.g., pictures, videos, blogs) on the Social Web. Unlike taxonomies...
Valentina Zanardi, Licia Capra