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» A new objective function for sequence labeling
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166
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PAMI
2010
249views more  PAMI 2010»
15 years 4 months ago
Object Detection with Discriminatively Trained Part-Based Models
—We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-...
Pedro F. Felzenszwalb, Ross B. Girshick, David A. ...
ISQED
2006
IEEE
118views Hardware» more  ISQED 2006»
16 years 11 days ago
Localized On-Chip Power Delivery Network Optimization via Sequence of Linear Programming
— In this paper, we propose an efficient algorithm to reduce the voltage noises for on-chip power/ground (P/G) networks of VLSI. The new method is based on the sequence of linea...
Jeffrey Fan, I-Fan Liao, Sheldon X.-D. Tan, Yici C...
162
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INTEGRATION
2007
90views more  INTEGRATION 2007»
15 years 6 months ago
Partitioning-based decoupling capacitor budgeting via sequence of linear programming
In this paper, we propose an efficient algorithm to reduce the voltage noises for on-chip power/ground (P/G) networks of VLSI. The new method is based on the sequence of linear p...
Jeffrey Fan, Sheldon X.-D. Tan, Yici Cai, Xianlong...
195
Voted
SIGGRAPH
1999
ACM
15 years 10 months ago
Shape Transformation Using Variational Implicit Functions
Traditionally, shape transformation using implicit functions is performed in two distinct steps: 1) creating two implicit functions, and 2) interpolating between these two functio...
Greg Turk, James F. O'Brien
ICIP
2002
IEEE
16 years 8 months ago
Model-driven statistical analysis of human gait motion
We describe a new method for analyzing and extracting human gait motion by combining statistical methods with image processing. The periodic motion of human gait is modeled by tri...
Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris