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ICASSP
2010
IEEE
14 years 9 months ago
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
Max A. Little, Nick S. Jones
PAMI
2006
98views more  PAMI 2006»
14 years 9 months ago
Integral Invariants for Shape Matching
For shapes represented as closed planar contours, we introduce a class of functionals which are invariant with respect to the Euclidean group and which are obtained by performing i...
Siddharth Manay, Daniel Cremers, Byung-Woo Hong, A...
PAMI
2002
201views more  PAMI 2002»
14 years 9 months ago
ICP Registration Using Invariant Features
This paper investigates the use of Euclidean invariant features in a generalization of iterative closest point registration of range images. Pointwisecorrespondences are chosen as...
Gregory C. Sharp, Sang Wook Lee, David K. Wehe
ALT
2006
Springer
15 years 6 months ago
Active Learning in the Non-realizable Case
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
Matti Kääriäinen
DAC
2009
ACM
15 years 4 months ago
Accurate temperature estimation using noisy thermal sensors
Multicore SOCs rely on runtime thermal measurements using on-chip sensors for DTM. In this paper we address the problem of estimating the actual temperature of on-chip thermal sen...
Yufu Zhang, Ankur Srivastava