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» Cosparse analysis modeling - uniqueness and algorithms
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PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
14 years 7 months ago
Sparse Unsupervised Dimensionality Reduction Algorithms
Abstract. Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we sho...
Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang
MLMI
2004
Springer
15 years 2 months ago
Shallow Dialogue Processing Using Machine Learning Algorithms (or Not)
This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and ...
Andrei Popescu-Belis, Alexander Clark, Maria Georg...
SIGIR
2006
ACM
15 years 3 months ago
Tensor space model for document analysis
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...
Deng Cai, Xiaofei He, Jiawei Han
62
Voted
ICCAD
2006
IEEE
95views Hardware» more  ICCAD 2006»
15 years 6 months ago
Timing model reduction for hierarchical timing analysis
— In this paper, we propose a timing model reduction algorithm for hierarchical timing analysis based on a bicliquestar replacement technique. In hierarchical timing analysis, ea...
Shuo Zhou, Yi Zhu, Yuanfang Hu, Ronald L. Graham, ...
95
Voted
ASIACRYPT
2009
Springer
15 years 4 months ago
On the Analysis of Cryptographic Assumptions in the Generic Ring Model
At Eurocrypt 2009 Aggarwal and Maurer proved that breaking RSA is equivalent to factoring in the generic ring model. This model captures algorithms that may exploit the full algeb...
Tibor Jager, Jörg Schwenk