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85
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ICCD
2000
IEEE
135views Hardware» more  ICCD 2000»
15 years 9 months ago
A Methodology and Tool for Automated Transformational High-Level Design Space Exploration
el of abstraction by integrating a high-level estimation step. This results in a design loop which is tight led on high level of abstraction (called estimation loop in figure 1). ...
Joachim Gerlach, Wolfgang Rosenstiel
SOFSEM
2010
Springer
15 years 9 months ago
Fast Arc-Annotated Subsequence Matching in Linear Space
An arc-annotated string is a string of characters, called bases, augmented with a set of pairs, called arcs, each connecting two bases. Given arc-annotated strings P and Q the arc-...
Philip Bille, Inge Li Gørtz
PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
15 years 6 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
135
Voted
CVPR
1997
IEEE
16 years 2 months ago
Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces
Shape indexing is a way of making rapid associations between features detected in an image and object models that could have produced them. When model databases are large, the use...
Jeffrey S. Beis, David G. Lowe
168
Voted
ICML
2007
IEEE
16 years 1 months ago
Discriminant analysis in correlation similarity measure space
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
Yong Ma, Shihong Lao, Erina Takikawa, Masato Kawad...