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PAMI
2006
141views more  PAMI 2006»
13 years 4 months ago
Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameter
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
Stéphane Lafon, Ann B. Lee
BMCBI
2006
180views more  BMCBI 2006»
13 years 4 months ago
Building multiclass classifiers for remote homology detection and fold recognition
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
Huzefa Rangwala, George Karypis
KDD
1998
ACM
123views Data Mining» more  KDD 1998»
13 years 8 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
CRYPTO
2011
Springer
235views Cryptology» more  CRYPTO 2011»
12 years 4 months ago
Better Security for Deterministic Public-Key Encryption: The Auxiliary-Input Setting
Deterministic public-key encryption, introduced by Bellare, Boldyreva, and O’Neill (CRYPTO ’07), provides an alternative to randomized public-key encryption in various scenari...
Zvika Brakerski, Gil Segev
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
14 years 4 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu