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KDD
2007
ACM
156views Data Mining» more  KDD 2007»
16 years 3 months ago
Estimating rates of rare events at multiple resolutions
We consider the problem of estimating occurrence rates of rare events for extremely sparse data, using pre-existing hierarchies to perform inference at multiple resolutions. In pa...
Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrab...
DIS
2009
Springer
15 years 9 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
IPPS
2005
IEEE
15 years 8 months ago
Automatic Support for Irregular Computations in a High-Level Language
The problem of writing high performance parallel applications becomes even more challenging when irregular, sparse or adaptive methods are employed. In this paper we introduce com...
Jimmy Su, Katherine A. Yelick
ICIP
2002
IEEE
16 years 4 months ago
Likelihood normalization for face authentication in variable recording conditions
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...
Kuldip K. Paliwal, Conrad Sanderson
EUROMICRO
2009
IEEE
15 years 9 months ago
A Component-Based Technology for Hardware and Software Components
One of the challenges in development of embedded systems is to cope with hardware and software components simultaneously. Often is their integration cumbersome due to their incomp...
Luka Lednicki, Ana Petricic, Mario Zagar