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» A Fast Optimization Method for Level Set Segmentation
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TNN
2010
154views Management» more  TNN 2010»
14 years 9 months ago
Discriminative semi-supervised feature selection via manifold regularization
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin
VISSYM
2007
15 years 5 months ago
Hardware-accelerated Stippling of Surfaces derived from Medical Volume Data
We present a fast hardware-accelerated stippling method which does not require any preprocessing for placing points on surfaces. The surfaces are automatically parameterized in or...
Alexandra Baer, Christian Tietjen, Ragnar Bade, Be...
119
Voted
CC
2003
Springer
15 years 7 months ago
Improving Data Locality by Chunking
Cache memories were invented to decouple fast processors from slow memories. However, this decoupling is only partial, and many researchers have attempted to improve cache use by p...
Cédric Bastoul, Paul Feautrier
ARITH
2001
IEEE
15 years 6 months ago
Computer Arithmetic-A Processor Architect's Perspective
The Instruction Set Architecture (ISA) of a programmable processor is the native languageof the machine. It defines the set of operations and resourcesthat are optimized for that ...
Ruby B. Lee
131
Voted
SIGMOD
2010
ACM
208views Database» more  SIGMOD 2010»
15 years 2 months ago
Hierarchically organized skew-tolerant histograms for geographic data objects
Histograms have been widely used for fast estimation of query result sizes in query optimization. In this paper, we propose a new histogram method, called the Skew-Tolerant Histog...
Yohan J. Roh, Jae Ho Kim, Yon Dohn Chung, Jin Hyun...