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» Process modeling paradigms: an evaluation
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ICASSP
2011
IEEE
14 years 11 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
GLVLSI
2003
IEEE
134views VLSI» more  GLVLSI 2003»
16 years 16 days ago
Modeling QCA for area minimization in logic synthesis
Concerned by the wall that Moore’s Law is expected to hit in the next decade, the integrated circuit community is turning to emerging nanotechnologies for continued device impro...
Nadine Gergel, Shana Craft, John Lach
AMAI
2000
Springer
15 years 7 months ago
A prospective on mathematics and artificial intelligence: Problem solving=Modeling+Theorem proving
This is a prospective on the research in the intersection of mathematics and artificial intelligence that I see as having been the most important over the past 10 years and that I...
Harvey J. Greenberg
MVA
1998
162views Computer Vision» more  MVA 1998»
15 years 6 months ago
Multipass hierarchical stereo matching for generation of digital terrain models from aerial images
Abstract. This paper presents a new multi-pass hierarchical stereo-matching approach for generation of digital terrain models (DTMs) from two overlapping aerial images. Our method ...
Yi-Ping Hung, Chu-Song Chen, Kuan-Chung Hung, Yong...
NLPRS
2001
Springer
15 years 11 months ago
Automatic Segmentation of Words using Syllable Bigram Statistics
We present a syllable bigram model for segmenting a Korean sentence into words and correcting word-spacing errors in the spelling checker. We evaluated the system’s performance ...
Seung-Shik Kang, Chong-Woo Woo