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» Relativizing Small Complexity Classes and Their Theories
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MICCAI
2000
Springer
13 years 9 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
CORR
2000
Springer
134views Education» more  CORR 2000»
13 years 5 months ago
Learning Complexity Dimensions for a Continuous-Time Control System
This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...
Pirkko Kuusela, Daniel Ocone, Eduardo D. Sontag
JOC
2000
181views more  JOC 2000»
13 years 5 months ago
Security Arguments for Digital Signatures and Blind Signatures
Abstract. Since the appearance of public-key cryptography in the seminal DiffieHellman paper, many new schemes have been proposed and many have been broken. Thus, the simple fact t...
David Pointcheval, Jacques Stern
IFIP
2004
Springer
13 years 11 months ago
Asymptotic Behaviors of Type-2 Algorithms and Induced Baire Topologies
Abstract We propose an alternative notion of asymptotic behaviors for the study of type2 computational complexity. Since the classical asymptotic notion (for all but finitely many...
Chung-Chih Li
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 5 months ago
Lower Bounds for the Complexity of Monadic Second-Order Logic
Courcelle's famous theorem from 1990 states that any property of graphs definable in monadic second-order logic (MSO2) can be decided in linear time on any class of graphs of ...
Stephan Kreutzer, Siamak Tazari