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» A General Method for Feature Matching and Model Extraction
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122
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AAAI
2006
15 years 4 months ago
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Young-In Shin
DAC
2003
ACM
16 years 4 months ago
An IDF-based trace transformation method for communication refinement
In the Artemis project [13], design space exploration of embedded systems is provided by modeling application behavior and architectural performance constraints separately. Mappin...
Andy D. Pimentel, Cagkan Erbas
144
Voted
PR
2007
165views more  PR 2007»
15 years 3 months ago
A trainable feature extractor for handwritten digit recognition
This article focusses on the problems of feature extraction and the recognition of handwritten digits. A trainable feature extractor based on the LeNet5 convolutional neural netwo...
Fabien Lauer, Ching Y. Suen, Gérard Bloch
138
Voted
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 4 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
141
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CVIU
2004
115views more  CVIU 2004»
15 years 3 months ago
Context-dependent segmentation and matching in image databases
The content of an image can be summarized by a set of homogeneous regions in an appropriate feature space. When exact shape is not important, the regions can be represented by sim...
Hayit Greenspan, Guy Dvir, Yossi Rubner