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JACM
2000
77views more  JACM 2000»
15 years 6 months ago
The fault span of crash failures
A crashing network protocol is an asynchronous protocol whose memory does not survive crashes. We show that a crashing network protocol that works over unreliable links can be driv...
George Varghese, Mahesh Jayaram
JCNS
2000
78views more  JCNS 2000»
15 years 6 months ago
Computational Consequences of Temporally Asymmetric Learning Rules: II. Sensory Image Cancellation
Abstract. The electrosensory lateral line lobe (ELL) of mormyridelectric sh is a cerebellum-likestructure that receives primarya erent input from electroreceptors in the skin. Purk...
Patrick D. Roberts, Curtis C. Bell
JMIV
2000
141views more  JMIV 2000»
15 years 6 months ago
Critical Motions for Auto-Calibration When Some Intrinsic Parameters Can Vary
Auto-calibration is the recovery of the full camera geometry and Euclidean scene structure from several images of an unknown 3D scene, using rigidity constraints and partial knowl...
Fredrik Kahl, Bill Triggs, Kalle Åström
JUCS
2000
102views more  JUCS 2000»
15 years 6 months ago
Towards Two-Level Formal Modeling of Computer-Based Systems
: Embedded Computer-based Systems are becoming highly complex and hard to implement because of the large number of concerns the designers have to address. These systems are tightly...
Gabor Karsai, Greg Nordstrom, Ákos Lé...
MST
2000
86views more  MST 2000»
15 years 6 months ago
Team Learning of Computable Languages
A team of learning machines is a multiset of learning machines. A team is said to successfully learn a concept just in case each member of some nonempty subset, of predetermined s...
Sanjay Jain, Arun Sharma
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