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KDD
2001
ACM
187views Data Mining» more  KDD 2001»
14 years 6 months ago
Random projection in dimensionality reduction: applications to image and text data
Random projections have recently emerged as a powerful method for dimensionality reduction. Theoretical results indicate that the method preserves distances quite nicely; however,...
Ella Bingham, Heikki Mannila
SDM
2007
SIAM
133views Data Mining» more  SDM 2007»
13 years 7 months ago
On Point Sampling Versus Space Sampling for Dimensionality Reduction
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
Charu C. Aggarwal
DGO
2003
86views Education» more  DGO 2003»
13 years 7 months ago
The role of a search agent for disenfranchised users
Connected Kids project is about developing a searchable database system for the disenfranchised people of the city of Troy, New York. The various events and programs for the young...
Mousumi Chatterjee, Sibel Adali
CSMR
2010
IEEE
13 years 28 days ago
Reverse Engineering Component Models for Quality Predictions
Legacy applications are still widely spread. If a need to change deployment or update its functionality arises, it becomes difficult to estimate the performance impact of such modi...
Steffen Becker, Michael Hauck, Mircea Trifu, Klaus...
RECOMB
2005
Springer
14 years 6 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...