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TVLSI
2008
124views more  TVLSI 2008»
15 years 17 days ago
A Refinement-Based Compositional Reasoning Framework for Pipelined Machine Verification
Abstract--We present a refinement-based compositional framework for showing that pipelined machines satisfy the same safety and liveness properties as their non-pipelined specifica...
Panagiotis Manolios, Sudarshan K. Srinivasan
DMIN
2009
132views Data Mining» more  DMIN 2009»
14 years 10 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
178
Voted
TC
2011
14 years 7 months ago
Energy Reduction in Consolidated Servers through Memory-Aware Virtual Machine Scheduling
—Increasing energy consumption in server consolidation environments leads to high maintenance costs for data centers. Main memory, no less than processor, is a major energy consu...
Jae-Wan Jang, Myeongjae Jeon, Hyo-Sil Kim, Heeseun...
ICCV
2009
IEEE
16 years 5 months ago
Heterogeneous Feature Machines for Visual Recognition
With the recent efforts made by computer vision researchers, more and more types of features have been designed to describe various aspects of visual characteristics. Modeling s...
Liangliang Cao, Jiebo Luo, Feng Liang, Thomas S. H...
85
Voted
ECCV
1998
Springer
16 years 2 months ago
Is Machine Colour Constancy Good Enough?
This paper presents a negative result: current machine colour constancy algorithms are not good enough for colour-based object recognition. This result has surprised us since we ha...
Brian V. Funt, Kobus Barnard, Lindsay Martin