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» Set cover algorithms for very large datasets
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ICIAP
2005
ACM
16 years 4 months ago
Statistical Modeling of Huffman Tables Coding
An innovative algorithm for automatic generation of Huffman coding tables for semantic classes of digital images is presented. Collecting statistics over a large dataset of corresp...
Sebastiano Battiato, Camillo Bosco, Arcangelo Brun...
129
Voted
ICCAD
2006
IEEE
126views Hardware» more  ICCAD 2006»
16 years 1 months ago
Exploring linear structures of critical path delay faults to reduce test efforts
It has been shown that the delay of a target path can be composed linearly of other path delays. If the later paths are robustly testable (with known delay values), the target pat...
Shun-Yen Lu, Pei-Ying Hsieh, Jing-Jia Liou
NECO
2008
112views more  NECO 2008»
15 years 4 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel
AAAI
2008
15 years 6 months ago
Zero-data Learning of New Tasks
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
Hugo Larochelle, Dumitru Erhan, Yoshua Bengio
INAP
2001
Springer
15 years 9 months ago
Discovering Frequent Itemsets in the Presence of Highly Frequent Items
This paper presents new techniques for focusing the discoveryof frequent itemsets within large, dense datasets containing highly frequent items. The existence of highly frequent i...
Dennis P. Groth, Edward L. Robertson