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» Boosting Image Retrieval
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144
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ICCV
2003
IEEE
15 years 8 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
128
Voted
IRI
2003
IEEE
15 years 8 months ago
Component-Based Design and Integration of a Distributed Multimedia Management System
Abstract – In order to fulfill the functional requirements of multimedia management systems while achieving the efficiency and reliability at the same time, we adopt the compone...
Shu-Ching Chen, Mei-Ling Shyu, Na Zhao, Chengcui Z...
112
Voted
IJDAR
2006
103views more  IJDAR 2006»
15 years 2 months ago
Table-processing paradigms: a research survey
Tables are a ubiquitous form of communication. While everyone seems to know what a table is, a precise, analytical definition of "tabularity" remains elusive because some...
David W. Embley, Matthew Hurst, Daniel P. Lopresti...
139
Voted
EDBT
2011
ACM
225views Database» more  EDBT 2011»
14 years 6 months ago
On (not) indexing quadratic form distance by metric access methods
The quadratic form distance (QFD) has been utilized as an effective similarity function in multimedia retrieval, in particular, when a histogram representation of objects is used...
Tomás Skopal, Tomás Bartos, Jakub Lo...
177
Voted
PAMI
2012
13 years 5 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...