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ICML
2005
IEEE
16 years 1 months ago
Q-learning of sequential attention for visual object recognition from informative local descriptors
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
Lucas Paletta, Gerald Fritz, Christin Seifert
WWW
2004
ACM
16 years 1 months ago
Post-processing inkml for random-access navigation of voluminous handwritten ink documents
The goal of this research is the improvement of browsing voluminous InkML data in two areas: ease of rendering continuous inkflow for replay-browsing, and ease of random access na...
Khaireel A. Mohamed, Lioudmila Belenkaia, Thomas O...
TCC
2009
Springer
151views Cryptology» more  TCC 2009»
16 years 1 months ago
Secret Sharing and Non-Shannon Information Inequalities
The known secret-sharing schemes for most access structures are not efficient; even for a one-bit secret the length of the shares in the schemes is 2O(n) , where n is the number of...
Amos Beimel, Ilan Orlov
KDD
2006
ACM
107views Data Mining» more  KDD 2006»
16 years 1 months ago
Out-of-core frequent pattern mining on a commodity PC
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
Gregory Buehrer, Srinivasan Parthasarathy, Amol Gh...
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
16 years 1 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin