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» Data Reduction Using Multiple Models Integration
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ASPDAC
2012
ACM
265views Hardware» more  ASPDAC 2012»
13 years 11 months ago
GLOW: A global router for low-power thermal-reliable interconnect synthesis using photonic wavelength multiplexing
In this paper, we examine the integration potential and explore the design space of low power thermal reliable on-chip interconnect synthesis featuring nanophotonics Wavelength Di...
Duo Ding, Bei Yu, David Z. Pan
SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
15 years 9 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...
124
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SMA
2009
ACM
125views Solid Modeling» more  SMA 2009»
15 years 9 months ago
Stable mesh decimation
Current mesh reduction techniques, while numerous, all primarily reduce mesh size by successive element deletion (e.g. edge collapses) with the goal of geometric and topological f...
Chandrajit L. Bajaj, Andrew Gillette, Qin Zhang
ADBIS
2005
Springer
112views Database» more  ADBIS 2005»
15 years 8 months ago
Non-destructive Integration of Form-Based Views
Form documents or screen forms bring essential information on the data manipulated by an organization. They can be considered as different but often overlapping views of its whole...
Jan Hidders, Jan Paredaens, Philippe Thiran, Geert...
ICPR
2010
IEEE
15 years 1 months ago
Cross Entropy Optimization of the Random Set Framework for Multiple Instance Learning
Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
Jeremy Bolton, Paul D. Gader