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» Structured Sparsity in Structured Prediction
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VLSID
1999
IEEE
97views VLSI» more  VLSID 1999»
14 years 19 days ago
A New Methodology for Concurrent Technology Development and Cell Library Optimization
To minimize the time to market and cost of new sub 0.25um process technologies and products, PDF Solutions, Inc., has developed a new comprehensive approach based on the use of pr...
Marko P. Chew, Sharad Saxena, Thomas F. Cobourn, P...
KDD
1998
ACM
140views Data Mining» more  KDD 1998»
14 years 17 days ago
Active Templates: Comprehensive Support for the Knowledge Discovery Process
The goal of Active Template research is to create a single, unified environment that a data analyst can use to carry out a knowledge discovery project, and to deliver the resultin...
Randy Kerber, Hal Beck, Tej Anand, Bill Smart
DAC
1996
ACM
14 years 15 days ago
Pseudorandom-Pattern Test Resistance in High-Performance DSP Datapaths
The testability of basic DSP datapath structures using pseudorandom built-in self-test techniques is examined. The addition of variance mismatched signals is identified as a testi...
Laurence Goodby, Alex Orailoglu
DSD
2004
IEEE
132views Hardware» more  DSD 2004»
14 years 3 days ago
Dynamic Filter Cache for Low Power Instruction Memory Hierarchy
Filter cache(FC) is effective in achieving energy saving at the expense of some performance degradation. The energy savings, here, comes from repeated execution of tiny loops from...
Kugan Vivekanandarajah, Thambipillai Srikanthan, S...
ECAI
2006
Springer
14 years 1 days ago
Background Default Knowledge and Causality Ascriptions
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on background...
Jean-François Bonnefon, Rui Da Silva Neves,...