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» The Predictability of Data Values
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131
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ICIP
1997
IEEE
16 years 4 months ago
Binary Shape Coding Using 1-D Distance Values from Baseline
Here we describe a baseline-based binary shape coding method in which arbitrarily shaped object is represented by the traced 1-D data from baseline and turning point (TP). The sha...
Shi Hwa Lee, Dae-Sung Cho, Yu-Shin Cho, Sehoon Son...
158
Voted
ICPP
2008
IEEE
15 years 9 months ago
Improving the Performance of Multithreaded Sparse Matrix-Vector Multiplication Using Index and Value Compression
Abstract—The Sparse Matrix-Vector Multiplication kernel exhibits limited potential for taking advantage of modern shared memory architectures due to its large memory bandwidth re...
Kornilios Kourtis, Georgios I. Goumas, Nectarios K...
RE
2007
Springer
15 years 9 months ago
Value-Based Requirements Traceability: Lessons Learned
Abstract. Traceability from requirements to code is mandated by numerous software development standards. These standards, however, are not explicit about the appropriate level of q...
Alexander Egyed, Paul Grünbacher, Matthias He...
AAAI
2008
15 years 5 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
ALIFE
2006
15 years 3 months ago
Axiomatic Scalable Neurocontroller Analysis via the Shapley Value
One of the major challenges in the field of neurally driven evolved autonomous agents is deciphering the neural mechanisms underlying their behavior. Aiming at this goal, we have d...
Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaa...