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...
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...
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...
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...
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 ...