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PAMI
2011
13 years 3 months ago
Learning a Family of Detectors via Multiplicative Kernels
—Object detection is challenging when the object class exhibits large within-class variations. In this work, we show that foreground-background classification (detection) and wit...
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan ...
IJHPCA
2008
131views more  IJHPCA 2008»
13 years 8 months ago
De Novo Ultrascale Atomistic Simulations On High-End Parallel Supercomputers
We present a de novo hierarchical simulation framework for first-principles based predictive simulations of materials and their validation on high-end parallel supercomputers and ...
Aiichiro Nakano, Rajiv K. Kalia, Ken-ichi Nomura, ...
IROS
2007
IEEE
149views Robotics» more  IROS 2007»
14 years 2 months ago
Kernel-based visual servoing
— Traditionally, visual servoing is separated into tracking and control subsystems. This separation, though convenient, is not necessarily well justified. When tracking and cont...
Vinutha Kallem, Maneesh Dewan, John P. Swensen, Gr...
ICPR
2004
IEEE
14 years 9 months ago
Multi-Resolution Template Kernels
Domains in which shapes of objects change rapidly and significantly are a challenge for existing representation techniques: sport is a good example of this. We present a texture-b...
Chris J. Needham, Roger D. Boyle
ICIP
2009
IEEE
14 years 9 months ago
Spatio-temporal Tube Kernel For Actor Retrieval
This paper presents an actor video retrieval system based on face video-tubes extraction and representation with sets of temporally coherent features. Visual features, SIFT points...