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» Clustering with Interactive Feedback
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ICIP
2000
IEEE
16 years 6 months ago
Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevant Feedback
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
Pengyu Hong, Qi Tian, Thomas S. Huang
HAPTICS
2005
IEEE
15 years 10 months ago
Force Feedback Interface for Cell Injection
Manual pronuclei injection and intracytoplasmic sperm injection (ICSI) requires long training and has low success rates primarily due to poor control over the injection force. Con...
Anand Pillarisetti, Waqas Anjum, Jaydev P. Desai, ...
ICCV
2003
IEEE
15 years 10 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...
AAAI
2007
15 years 7 months ago
Supporting Feedback and Assessment of Digital Ink Answers to In-Class Exercises
Effective teaching involves treating the presentation of new material and the assessment of students’ mastery of this material as part of a seamless and continuous feedback cycl...
Kimberle Koile, Kevin Chevalier, Michel Rbeiz, Ada...
AAAI
2006
15 years 6 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal