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ASPDAC
2010
ACM
211views Hardware» more  ASPDAC 2010»
15 years 1 months ago
A fast analog mismatch analysis by an incremental and stochastic trajectory piecewise linear macromodel
To cope with an increasing complexity when analyzing analog mismatch in sub-90nm designs, this paper presents a fast non-MonteCarlo method to calculate mismatch in time domain. Th...
Hao Yu, Xuexin Liu, Hai Wang, Sheldon X.-D. Tan
ICCV
2009
IEEE
15 years 27 days ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
ICIP
2009
IEEE
15 years 26 days ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li
ECMDAFA
2011
Springer
246views Hardware» more  ECMDAFA 2011»
14 years 6 months ago
Incremental Updates for View-Based Textual Modelling
Abstract. Model-Driven Engineering (MDE) aims at improving the development of software systems. Within this context textual concrete syntaxes for models are beneficial for many re...
Thomas Goldschmidt, Axel Uhl
JMLR
2012
13 years 5 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee