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ICCV
2003
IEEE
16 years 1 days 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...
SEW
2003
IEEE
16 years 18 hour ago
Model-Based Software Testing via Incremental Treatment Learning
Model-based software has become quite popular in recent years, making its way into a broad range of areas, including the aerospace industry. The models provide an easy graphical i...
Dustin Geletko, Tim Menzies
SIGGRAPH
2003
ACM
16 years 3 hour ago
Learning controls for blend shape based realistic facial animation
Blend shape animation is the method of choice for keyframe facial animation: a set of blend shapes (key facial expressions) are used to define a linear space of facial expression...
Pushkar Joshi, Wen C. Tien, Mathieu Desbrun, Frede...
CA
1999
IEEE
15 years 11 months ago
Fast Synthetic Vision, Memory, and Learning Models for Virtual Humans
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
James J. Kuffner Jr., Jean-Claude Latombe
DATE
1999
IEEE
135views Hardware» more  DATE 1999»
15 years 11 months ago
Combinational Equivalence Checking Using Satisfiability and Recursive Learning
The problem of checking the equivalence of combinational circuits is of key significance in the verification of digital circuits. In recent years, several approaches have been pro...
João P. Marques Silva, Thomas Glass