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CVPR
2009
IEEE
16 years 5 months ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...
VAMOS
2010
Springer
14 years 11 months ago
Using Incremental Consistency Management for Conformance Checking in Feature-Oriented Model-Driven Engineering
Feature-Oriented Model-Driven Engineering (FOMDE) is an approach that lies at the intersection of two complementary paradigms for software construction, Model Driven Engineering (M...
Roberto E. Lopez-Herrejon, Alexander Egyed, Salvad...
FPL
2005
Springer
119views Hardware» more  FPL 2005»
15 years 3 months ago
Real-Time Feature Extraction for High Speed Networks
With the onset of Gigabit networks, current generation networking components will soon be insufficient for numerous reasons: most notably because existing methods cannot support h...
David Nguyen, Gokhan Memik, Seda Ogrenci Memik, Al...
LREC
2010
251views Education» more  LREC 2010»
14 years 11 months ago
Extracting Product Features and Sentiments from Chinese Customer Reviews
With the growing interest in opinion mining from web data, more works are focused on mining in English and Chinese reviews. Probing into the problem of product opinion mining, thi...
Shu Zhang, Wen-Jie Jia, Yingju Xia, Yao Meng, Hao ...
CVPR
2011
IEEE
14 years 1 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff