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SYSTOR
2009
ACM
16 years 1 months ago
Energy and performance evaluation of lossless file data compression on server systems
Data compression has been claimed to be an attractive solution to save energy consumption in high-end servers and data centers. However, there has not been a study to explore this...
Rachita Kothiyal, Vasily Tarasov, Priya Sehgal, Er...
CDC
2008
IEEE
142views Control Systems» more  CDC 2008»
16 years 1 months ago
Convergence of rule-of-thumb learning rules in social networks
— We study the problem of dynamic learning by a social network of agents. Each agent receives a signal about an underlying state and communicates with a subset of agents (his nei...
Daron Acemoglu, Angelia Nedic, Asuman E. Ozdaglar
ISBI
2007
IEEE
16 years 28 days ago
Automated Grading of Prostate Cancer Using Architectural and Textural Image Features
The current method of grading prostate cancer on histology uses the Gleason system, which describes five increasingly malignant stages of cancer according to qualitative analysis...
Scott Doyle, Mark Hwang, Kinsuk Shah, Anant Madabh...
CTRSA
2007
Springer
146views Cryptology» more  CTRSA 2007»
16 years 24 days ago
How to Strengthen Any Weakly Unforgeable Signature into a Strongly Unforgeable Signature
Standard signature schemes are usually designed only to achieve weak unforgeability – i.e. preventing forgery of signatures on new messages not previously signed. However, most s...
Ron Steinfeld, Josef Pieprzyk, Huaxiong Wang
IJCNN
2006
IEEE
16 years 20 days ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...