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» An Adaptive Supersampling Method
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EMMCVPR
2005
Springer
14 years 3 months ago
Linear Programming Matching and Appearance-Adaptive Object Tracking
Abstract. In this paper, we present a novel successive relaxation linear programming scheme for solving the important class of consistent labeling problems for which an L1 metric i...
Hao Jiang, Mark S. Drew, Ze-Nian Li
PG
2002
IEEE
14 years 3 months ago
Adaptive Solid Texturing for Web3D Applications
Solid texturing is a well-known computer graphics technology, but still has problems today, because it consumes too much time if every pixel is calculated on the fly or has a very...
Bing-Yu Chen, Tomoyuki Nishita
ICISP
2010
Springer
14 years 3 months ago
Determining Dominant Frequency with Data-Adaptive Windows
Abstract. Measurement of activation rates in cardiac electrograms is commonly done though estimating the frequency of the sinusoid with the greatest power. This frequency, commonly...
Gagan Mirchandani, Shruti Sharma
ADBIS
2007
Springer
256views Database» more  ADBIS 2007»
14 years 2 months ago
Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
Stefanos Ougiaroglou, Alexandros Nanopoulos, Apost...
LREC
2010
169views Education» more  LREC 2010»
13 years 11 months ago
Using Comparable Corpora to Adapt a Translation Model to Domains
Statistical machine translation (SMT) requires a large parallel corpus, which is available only for restricted language pairs and domains. To expand the language pairs and domains...
Hiroyuki Kaji, Takashi Tsunakawa, Daisuke Okada