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» Modeling and simulation of retrieving process
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122
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ICCV
2003
IEEE
15 years 6 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...
134
Voted
MM
2009
ACM
233views Multimedia» more  MM 2009»
15 years 5 months ago
Enhancing semantic and geographic annotation of web images via logistic canonical correlation regression
Photo community sites such as Flickr and Picasa Web Album host a massive amount of personal photos with millions of new photos uploaded every month. These photos constitute an ove...
Liangliang Cao, Jie Yu, Jiebo Luo, Thomas S. Huang
86
Voted
SIGIR
2008
ACM
15 years 23 days ago
Intuition-supporting visualization of user's performance based on explicit negative higher-order relevance
Modeling the beyond-topical aspects of relevance are currently gaining popularity in IR evaluation. For example, the discounted cumulated gain (DCG) measure implicitly models some...
Heikki Keskustalo, Kalervo Järvelin, Ari Pirk...
98
Voted
MICCAI
2005
Springer
16 years 1 months ago
Deformable Registration of Brain Tumor Images Via a Statistical Model of Tumor-Induced Deformation
An approach to the deformable registration of three-dimensional brain tumor images to a normal brain atlas is presented. The approach involves the integration of three components:...
Ashraf Mohamed, Dinggang Shen, Christos Davatzikos
88
Voted
DATE
2007
IEEE
173views Hardware» more  DATE 2007»
15 years 7 months ago
Analytical router modeling for networks-on-chip performance analysis
Networks-on-Chip (NoCs) have recently emerged as a scalable alternative to classical bus and point-to-point architectures. To date, performance evaluation of NoC designs is largel...
Ümit Y. Ogras, Radu Marculescu